@inproceedings{PfistererBKRTMKHKPLH:2011:418,
author = {Bimschas, Daniel and Hasemann, Henning and Karnstedt, Marcel and Kleine, Oliver and Kroeller, Alexander and Leggieri, Myriam and Mietz, Richard and Passant, Alexandre and Pfisterer, Dennis and Roemer, Kay and Truong, Cuong},
booktitle = {Workshop on Semantic Services for the Internet of Things (SSIT), Kommunikation in Verteilten Systemen 2011},
keywords = {SSN,SSNO\_application,internet\_of\_things,semantic\_sensor\_web},
mendeley-tags = {SSN,SSNO\_application,internet\_of\_things,semantic\_sensor\_web},
publisher = {ECEASST},
title = {{Semantic-Service Provisioning for the Internet of Things}},
url = {http://journal.ub.tu-berlin.de/eceasst/article/view/473/549},
year = {2011}
}

@article{s110302652,
author = {Br\"{o}ring, Arne and Echterhoff, Johannes and Jirka, Simon and Simonis, Ingo and Everding, Thomas and Stasch, Christoph and Liang, Steve and Lemmens, Rob},
issn = {1424-8220},
journal = {Sensors},
keywords = {OGC\_standards,sensor\_web},
mendeley-tags = {OGC\_standards,sensor\_web},
number = {3},
pages = {2652--2699},
title = {{New Generation Sensor Web Enablement}},
url = {http://www.mdpi.com/1424-8220/11/3/2652/},
volume = {11},
year = {2011}
}

@inproceedings{Cano2011,
author = {Cano, A E and Dadzie, A.-S. and Uren, V S and Ciravegna, F},
booktitle = {Proceedings of the International Workshop on User Profile Data on the Social Semantic Web (UWeb) at the 8th Extended Semantic Web Conference (ESWC2011)},
keywords = {SSNO\_application,linked\_data,ontology,stream\_data},
mendeley-tags = {SSNO\_application,linked\_data,ontology,stream\_data},
title = {{Sensing Presence (PreSense) Ontology - User Modelling in the Semantic Sensor Web}},
url = {http://www.wis.ewi.tudelft.nl/uweb2011/paper1.pdf},
year = {2011}
}

@techreport{Caumont2011,
author = {Caumont, Herve and Robinson, Erin and Cornford, Dan and Walker, Peter and Ottavianelli, Giuseppe and Lee, Brad and Woolf, Andrew and McDonald, Ken and Fox, Nigel},
institution = {Group on Earth Observations},
keywords = {OGC\_standards,SSNO\_application},
mendeley-tags = {OGC\_standards,SSNO\_application},
title = {{Data Harmonization Working Group (DHWG) Engineering Report GEOSS Architecture Implementation Pilot, Phase 3 Version 1.0}},
type = {GEOSS AIP-3 Engineering Report},
url = {http://www.ogcnetwork.net/pub/ogcnetwork/GEOSS/AIP3/documents/20110128\_AIP\_DHWG\_ER v1.0 FINAL.pdf},
year = {2011}
}

@techreport{GarciaCastro2011,
author = {Garcia-Castro, Ra\'{u}l and Hill, Chris and Corcho, Oscar},
institution = {SemSorGrid4Env: Semantic Sensor Grids for Rapid Application Development for Environmental Management},
keywords = {SSN,SSNO\_application,domain\_ontologies,semantic\_sensor\_network,semantic\_sensor\_web},
mendeley-tags = {SSN,SSNO\_application,domain\_ontologies,semantic\_sensor\_network,semantic\_sensor\_web},
month = feb,
title = {{Sensor network ontology suite v2. Deliverable D4.3v2, SemSorGrid4Env}},
url = {http://www.semsorgrid4env.eu/files/deliverables/wp4/D4.3v2.pdf},
year = {2011}
}

@techreport{Karpathiotakis2011,
author = {Karpathiotakis, Manos and Kyzirakos, Kostis and Kaoudi, Zoi and Fisikopoulos, Vissarion and Miliaraki, Iris and Koubarakis, Manolis and Ioannidis, Yannis and Hatzopoulos, Michael and Kalogeraki, Vana},
institution = {SemSorGrid4Env: Semantic Sensor Grids for Rapid Application Development for Environmental Management},
keywords = {SPARQL,SSNO\_application,discovery,programming,semantic\_sensor\_web,stream\_data},
mendeley-tags = {SPARQL,SSNO\_application,discovery,programming,semantic\_sensor\_web,stream\_data},
month = feb,
title = {{Implementation and deployment of the registry services - Phase II. Deliverable D3.3v2, SemSorGrid4Env}},
url = {http://www.semsorgrid4env.eu/files/deliverables/wp3/D3.3v2.pdf},
year = {2011}
}

@inproceedings{Kloppers2011,
author = {Kloppers, Corne and Peters, Chris and Liu, Qing and Bai, Quan and Taylor, Peter and Malewski, Christian and Mueller, Heiko and Terhorst, Andrew and Lee, Brad and Zednik, Stephan and West, Patrick and Fox, Peter},
booktitle = {OpenWater Symposium and workshops (Extended abstracts)},
keywords = {SSNO\_application,provenance},
mendeley-tags = {SSNO\_application,provenance},
title = {{A Prototype Provenance Management System for a Continuous Flow Forecasting System}},
year = {2011}
}

@techreport{ebbit72,
author = {Kostelnik, Peter and Hreno, Jan and Gonzalo, Alcaraz and Pastrone, Claudio and Spirito, Maurizio and {Nejsum Madsen}, Thomas and Checcozzo, Roberto and Parali?, Marek and Furd�k, Karol and Ahlsen, Matts},
institution = {EBBITS Consortium},
keywords = {SSNO\_application,internet\_of\_things,ontology,semantic\_sensor\_network,semantic\_service},
mendeley-tags = {SSNO\_application,internet\_of\_things,ontology,semantic\_sensor\_network,semantic\_service},
title = {{EBBITS (Enabling the business-based Internet of Things and Services) Deliverable 7.2 Event and data structures, taxonomies and ontologies}},
url = {http://www.ebbits-project.eu/downloads.php?cat\_id=1\&download\_id=11},
year = {2011}
}

@article{Kuusik2011,
author = {Kuusik, Alar and Reilent, Enar and L\~{o}\~{o}bas, Ivor and Parve, Marko},
journal = {Advances on Information Sciences and Service Sciences},
keywords = {CSIRO\_SSN\_Ontology,SSNO\_application},
mendeley-tags = {CSIRO\_SSN\_Ontology,SSNO\_application},
month = mar,
number = {2},
pages = {141--151},
title = {{Software Architecture for Modern Telehealth Care Systems}},
url = {http://www.aicit.org/aiss/ppl/16\_ AISS\_March-16.pdf},
volume = {3},
year = {2011}
}

@inproceedings{Malewski2011,
author = {Malewski, Christian and Simonis, Ingo and Cox, Simon and Terhorst, Andrew},
booktitle = {EGU 2011},
keywords = {OGC\_standards,SSN,SSNO\_application},
mendeley-tags = {OGC\_standards,SSN,SSNO\_application},
number = {EGU2011-10348-4},
series = {Geophysical Research Abstracts, 2011 EGU General Assembly},
title = {{An Alternative Sensor Description Mark-Up Language}},
volume = {13},
year = {2011}
}

@inproceedings{MoraruEtAl2011,
author = {Moraru, Alexandra and Mladenic, Dunja and Vucnik, Matevz and Porcius, Maria and Fortuna, Carolina and Mohorcic, Mihael},
booktitle = {Eighth International Workshop on Information Integration on the Web (IIWeb2011) in conjunction with WWW 2011},
keywords = {SSNO\_application,internet\_of\_things,linked\_data},
mendeley-tags = {SSNO\_application,internet\_of\_things,linked\_data},
title = {{Exposing Real World Information for the Web of Things}},
url = {http://www.planet-data.eu/sites/default/files/publications/IIWeb2011-final\_cameraReady.pdf},
year = {2011}
}

@article{s110303177,
author = {Qualls, Joseph and Russomanno, David J},
doi = {10.3390/s110303177},
issn = {1424-8220},
journal = {Sensors},
keywords = {ontology,programming,semantic\_sensor\_web,sensor,tasking},
mendeley-tags = {ontology,programming,semantic\_sensor\_web,sensor,tasking},
number = {3},
pages = {3177--3204},
title = {{Ontological Problem-Solving Framework for Dynamically Configuring Sensor Systems and Algorithms}},
url = {http://www.mdpi.com/1424-8220/11/3/3177/},
volume = {11},
year = {2011}
}

@inproceedings{Baillie2010,
author = {Baillie, Chris and Edwards, Peter and Pignotti, Edoardo and Reed, Richard},
booktitle = {Digital Futures 2010},
keywords = {SSNO\_application,provenance},
mendeley-tags = {SSNO\_application,provenance},
title = {{Provenance in the Web of Linked Sensor Data}},
url = {https://www.horizon.ac.uk/images/stories/p39-Baillie.pdf},
year = {2010}
}

@inproceedings{Barnaghi2010,
author = {Barnaghi, Payam and Presser, Mirko},
booktitle = {The 3rd International workshop on Semantic Sensor Networks 2010 (SSN10) in conjunction with the 9th International Semantic Web Conference (ISWC 2010)},
keywords = {SSN,SSNO\_application,linked\_data,mashup,semantic\_sensor\_web},
mendeley-tags = {SSN,SSNO\_application,linked\_data,mashup,semantic\_sensor\_web},
title = {{Publishing Linked Sensor Data}},
url = {http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-668/paper2.pdf},
year = {2010}
}

@article{Biswas2010,
author = {Biswas, P K},
issn = {1932-8184},
journal = {Systems Journal, IEEE},
keywords = {MSIL semantics,MSIL syntax,QoS,formal language,mul,multicast,network,ontology},
mendeley-tags = {multicast,network,ontology},
number = {3},
pages = {353--362},
title = {{A Formal Framework for Multicast Communication}},
url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=5492293},
volume = {4},
year = {2010}
}

@techreport{BroeringOGC10,
author = {Br\"{o}ring, Arne and Below, Stefan},
institution = {Open Geospatial Consortium},
keywords = {OGC\_standards,discovery,sensor\_web},
mendeley-tags = {OGC\_standards,discovery,sensor\_web},
month = jun,
number = {OGC 10-134},
title = {{OpenGIS Sensor Interface Descriptors}},
type = {OpenGIS Discussion Paper},
url = {http://portal.opengeospatial.org/files/?artifact\_id=39664},
year = {2010}
}

@inproceedings{Calbimonte2010,
annote = {10.1007/978-3-642-17746-0\_7},
author = {Calbimonte, Jean-Paul and Corcho, Oscar and Gray, Alasdair},
booktitle = {The Semantic Web – ISWC 2010},
editor = {Patel-Schneider, Peter and Pan, Yue and Hitzler, Pascal and Mika, Peter and Zhang, Lei and Pan, Jeff and Horrocks, Ian and Glimm, Birte},
keywords = {SSN,programming,semantic\_sensor\_network,stream\_data},
mendeley-tags = {SSN,programming,semantic\_sensor\_network,stream\_data},
pages = {96--111},
publisher = {Springer Berlin / Heidelberg},
series = {Lecture Notes in Computer Science},
title = {{Enabling Ontology-Based Access to Streaming Data Sources}},
url = {http://dx.doi.org/10.1007/978-3-642-17746-0\_7},
volume = {6496},
year = {2010}
}

@article{Calder2010a,
abstract = {We describe a semantic data validation tool that is capable of observing incoming real-time sensor data and performing reasoning against a set of rules specific to the scientific domain to which the data belongs. Our software solution can produce a variety of different outcomes when a data anomaly or unexpected event is detected, ranging from simple flagging of data points, to data augmentation, to validation of proposed hypotheses that could explain the phenomenon. Hosted on the Jena Semantic Web Framework, the tool is completely domain-agnostic and is made domain-aware by reference to an ontology and Knowledge Base (KB) that together describe the key resources of the system being observed. The KB comprises ontologies for the sensor packages and for the domain; historical data from the network; concepts designed to guide discovery of internet resources unavailable in the local KB but relevant to reasoning about the anomaly; and a set of rules that represent domain expert knowledge of constraints on data from different kinds of instruments as well as rules that relate types of ecosystem events to properties of the ecosystem. We describe an instance of such a system that includes a sensor ontology, some rules describing coastal storm events and their consequences, and how we relate local data to external resources. We describe in some detail how a specific actual eventan unusually high chlorophyll readingcan be deduced by machine reasoning to be consistent with being caused by benthic diatom resuspension, consistent with being caused by an algal bloom, or both.},
author = {Calder, M and Morris, Robert A and Peri, F},
doi = {10.1016/j.ecoinf.2009.08.007},
issn = {15749541},
journal = {Ecological Informatics},
keywords = {SSNO\_application,ontology,programming,sensor},
mendeley-tags = {SSNO\_application,ontology,programming,sensor},
number = {1},
pages = {9--18},
publisher = {Elsevier B.V.},
title = {{Machine reasoning about anomalous sensor data}},
url = {http://linkinghub.elsevier.com/retrieve/pii/S1574954109000715},
volume = {5},
year = {2010}
}

We describe a semantic data validation tool that is capable of observing incoming real-time sensor data and performing reasoning against a set of rules specific to the scientific domain to which the data belongs. Our software solution can produce a variety of different outcomes when a data anomaly or unexpected event is detected, ranging from simple flagging of data points, to data augmentation, to validation of proposed hypotheses that could explain the phenomenon. Hosted on the Jena Semantic Web Framework, the tool is completely domain-agnostic and is made domain-aware by reference to an ontology and Knowledge Base (KB) that together describe the key resources of the system being observed. The KB comprises ontologies for the sensor packages and for the domain; historical data from the network; concepts designed to guide discovery of internet resources unavailable in the local KB but relevant to reasoning about the anomaly; and a set of rules that represent domain expert knowledge of constraints on data from different kinds of instruments as well as rules that relate types of ecosystem events to properties of the ecosystem. We describe an instance of such a system that includes a sensor ontology, some rules describing coastal storm events and their consequences, and how we relate local data to external resources. We describe in some detail how a specific actual eventan unusually high chlorophyll readingcan be deduced by machine reasoning to be consistent with being caused by benthic diatom resuspension, consistent with being caused by an algal bloom, or both.

@article{ComptonEtAl2010,
author = {Compton, Michael and Neuhaus, Holger and Bermudez, Luis and Cox, Simon},
journal = {Geophysical Research Abstracts},
keywords = {SSN,SSN\_XG,ontology},
mendeley-tags = {SSN,SSN\_XG,ontology},
number = {EGU2010-3817-1},
title = {{An ontology for sensor network}},
url = {http://meetingorganizer.copernicus.org/EGU2010/EGU2010-3817-1.pdf},
volume = {12},
year = {2010}
}

@article{Corcho2010,
author = {Corcho, Oscar and Garc\'{\i}a-Castro, Ra\'{u}l},
journal = {Semantic Web - Interoperability, Usability, Applicability},
keywords = {SSN,ontology,query language,semantic\_sensor\_network,semantic\_sensor\_web,sensor},
mendeley-tags = {SSN,semantic\_sensor\_network,semantic\_sensor\_web},
title = {{Five Challenges for the Semantic Sensor Web}},
url = {http://www.semantic-web-journal.net/sites/default/files/SWJ103.pdf},
year = {2010}
}

@techreport{DeRoureEtAl2010,
author = {{De Roure}, David C and Frazer, Alex J and Martinez, Kirk and Page, Kevin R},
institution = {SemSorGrid4Env: Semantic Sensor Grids for Rapid Application Development for Environmental Management},
keywords = {OGC\_standards,SSN,SSNO\_application,linked\_data,mashup,observation},
mendeley-tags = {OGC\_standards,SSN,SSNO\_application,linked\_data,mashup,observation},
month = jun,
title = {{Programming patterns and development guidelines for Semantic Sensor Grids. Deliverable D5.3v1, SemSorGrid4Env}},
url = {http://www.semsorgrid4env.eu/files/deliverables/wp5/D5.3v1.pdf},
year = {2010}
}

@inproceedings{Devaraju2010,
address = {Zurich, Switzerland},
author = {Devaraju, A and Neuhaus, H and Janowicz, K and Compton, M},
booktitle = {Extended Abstracts Volume, GIScience 2010},
editor = {Weibel, Ross Purves; Robert},
keywords = {SSN,SSNO\_application,ontology},
mendeley-tags = {SSN,SSNO\_application,ontology},
publisher = {GIScience},
title = {{Combining Process and Sensor Ontologies to Support Geo-Sensor Data Retrieval}},
url = {http://www.geovista.psu.edu/publications/2010/Devaraju\_GIScience\_10.pdf},
year = {2010}
}

@article{Guru2010,
author = {Guru, S and Peters, C},
journal = {Electronic Journal of Structural Engineering},
keywords = {OGC\_standards,SSNO\_application},
mendeley-tags = {OGC\_standards,SSNO\_application},
pages = {78--89},
title = {{Capture and Management of Hydrometeorological Phenomena Using Sensor Web Concepts and Scientific Workflow}},
url = {http://www.ejse.org/Archives/Fulltext/2010/Special/Paper07.pdf},
volume = {Special Is},
year = {2010}
}

@inproceedings{JanowiczAndCompton2010,
address = {Shanghai, China},
author = {Janowicz, K and Compton, M},
booktitle = {The 3rd International workshop on Semantic Sensor Networks 2010 (SSN10) in conjunction with the 9th International Semantic Web Conference (ISWC 2010)},
editor = {Roure, Kerry Taylor; Arun Ayyagari; David De},
keywords = {SSN,SSN\_XG,observation,ontology,sensor,upper\_ontology},
mendeley-tags = {SSN,SSN\_XG,observation,ontology,sensor,upper\_ontology},
title = {{The Stimulus-Sensor-Observation Ontology Design Pattern and its Integration into the Semantic Sensor Network Ontology}},
url = {http://ceur-ws.org/Vol-668/paper12.pdf},
year = {2010}
}

@article{Janowicz10,
author = {Janowicz, K and Schade, S and Br\"{o}ring, A and Ke\ss ler, C and Mau\'{e}, P and Stasch, C},
journal = {Transactions in GIS},
keywords = {OGC\_standards,SSN,linked\_data,semantic\_markup},
mendeley-tags = {OGC\_standards,SSN,linked\_data,semantic\_markup},
number = {2},
pages = {111--129},
title = {{Semantic Enablement for Spatial Data Infrastructures}},
url = {http://www.geovista.psu.edu/publications/2010/janowicz\_etal\_tgis\_semantic\_enablement.pdf},
volume = {14},
year = {2010}
}

@inproceedings{JanowiczAndBroering2010,
author = {Janowicz, Krzysztof and Br\"{o}ring, Arne},
booktitle = {Proceedings of the Workshop ” Towards Digital Earth: Search, Discover and Share Geospatial Data 2010″ at Future Internet Symposium},
keywords = {OGC\_standards,SSN,linked\_data},
mendeley-tags = {OGC\_standards,SSN,linked\_data},
month = sep,
title = {{Towards Meaningful URIs for Linked Sensor Data}},
url = {http://www.personal.psu.edu/kuj13/DE2010lsd.pdf},
year = {2010}
}

@inproceedings{Jirka2010,
abstract = {When searching for sensor data, sensor instances, or Sensor Web Enablement (SWE) services the description of the observed phenomenon plays an important role. Obviously, every user searching for sensor data needs to specify in which kind of sensor data he is interested. In current SWE applications, the information about the observed phenomenon is provided as a unique link encoded as a Uniform Resource Name (URN). However, relying on those URNs to perform string based search for sensor observables has serious drawbacks when it comes to realizing advanced sensor discovery tools as the meaning of the observables is ignored. This work presents an approach that makes use of semantic annotations of SWE resources. The presented solution relies on a dictionary for sensor observables, the Sensor Observable Registry (SOR). This dictionary comprises URNs identifying observables, definitions of these observables in natural language, and pointers to formal phenomenon definitions contained in ontologies. This makes it possible to rely on existing reasoning mechanisms for determining equivalent or related observables (e.g., specializations or generalizations) to the one specified by a user. Finally, an approach is presented, how the SOR can be used for enhancing the sensor discovery process by linking it to sensor catalogues and registries.},
author = {Jirka, Simon and Broring, Arne and Foerster, Theodor},
booktitle = {2010 International Symposium on Collaborative Technologies and Systems},
keywords = {OGC\_standards,discovery,sensor\_web},
mendeley-tags = {OGC\_standards,discovery,sensor\_web},
month = may,
pages = {322--329},
publisher = {IEEE},
title = {{Handling the semantics of sensor observables within SWE discovery solutions}},
url = {http://ifgi.uni-muenster.de/~arneb/SOR\_for\_SWE2010\_draft.pdf},
year = {2010}
}

When searching for sensor data, sensor instances, or Sensor Web Enablement (SWE) services the description of the observed phenomenon plays an important role. Obviously, every user searching for sensor data needs to specify in which kind of sensor data he is interested. In current SWE applications, the information about the observed phenomenon is provided as a unique link encoded as a Uniform Resource Name (URN). However, relying on those URNs to perform string based search for sensor observables has serious drawbacks when it comes to realizing advanced sensor discovery tools as the meaning of the observables is ignored. This work presents an approach that makes use of semantic annotations of SWE resources. The presented solution relies on a dictionary for sensor observables, the Sensor Observable Registry (SOR). This dictionary comprises URNs identifying observables, definitions of these observables in natural language, and pointers to formal phenomenon definitions contained in ontologies. This makes it possible to rely on existing reasoning mechanisms for determining equivalent or related observables (e.g., specializations or generalizations) to the one specified by a user. Finally, an approach is presented, how the SOR can be used for enhancing the sensor discovery process by linking it to sensor catalogues and registries.

@inproceedings{Kessler2010,
address = {Shanghai, China},
author = {Ke\ss ler, C and Janowicz, K},
booktitle = {The 3rd International workshop on Semantic Sensor Networks 2010 (SSN10) in conjunction with the 9th International Semantic Web Conference (ISWC 2010)},
editor = {Roure, Kerry Taylor; Arun Ayyagari; David De},
keywords = {OGC\_standards,SSN,SSNO\_application,linked\_data},
mendeley-tags = {OGC\_standards,SSN,SSNO\_application,linked\_data},
title = {{Linking Sensor Data - Why, to What, and How?}},
url = {http://ceur-ws.org/Vol-668/paper9.pdf},
year = {2010}
}

@article{Koubarakis2010,
author = {Koubarakis, Manolis and Kyzirakos, Kostis},
journal = {Semantic Web Research and Applications},
keywords = {CSIRO\_SSN\_ontology,SPARQL,programming,semantic\_sensor\_web,stream\_data},
mendeley-tags = {CSIRO\_SSN\_ontology,SPARQL,programming,semantic\_sensor\_web,stream\_data},
title = {{Modeling and Querying Metadata in the Semantic Sensor Web: The Model stRDF and the Query Language stSPARQL}},
url = {http://www.springerlink.com/index/3P0W1368KG52040H.pdf},
year = {2010}
}

@inproceedings{Kyzirakos2010,
author = {Kyzirakos, Kostis and Karpathiotakis, Manos and Koubarakis, Manolis},
booktitle = {The 3rd International workshop on Semantic Sensor Networks 2010 (SSN10) in conjunction with the 9th International Semantic Web Conference (ISWC 2010)},
keywords = {CSIRO\_SSN\_ontology,SPARQL,SSNO\_application,programming,semantic\_sensor\_web,stream\_data},
mendeley-tags = {CSIRO\_SSN\_ontology,SPARQL,SSNO\_application,programming,semantic\_sensor\_web,stream\_data},
title = {{Developing Registries for the Semantic Sensor Web using stRDF and stSPARQL (short paper)}},
url = {http://ceur-ws.org/Vol-668/paper8.pdf},
year = {2010}
}

@techreport{Le-Phuoc2010a,
author = {{Le Phuoc}, D and {Xavier Parreira}, J and Hausenblas, M and Hauswirth, M},
institution = {DERI},
keywords = {SSN,linked\_data,semantic\_sensor\_web,stream\_data},
mendeley-tags = {SSN,linked\_data,semantic\_sensor\_web,stream\_data},
number = {TR-2010-09-27},
title = {{Continuous Query Optimization and Evaluation over Unified Linked Stream Data and Linked Open Data.}},
url = {http://deri.ie/fileadmin/documents/DERI-TR-2010-09-27.pdf},
year = {2010}
}

@inproceedings{Le-Phuoc2010b,
address = {New York, NY, USA},
author = {{Le Phuoc}, Danh and Parreira, Josiane Xavier and Hausenblas, Michael and Han, Yuanbo and Hauswirth, Manfred},
booktitle = {Proceedings of the 6th International Conference on Semantic Systems},
keywords = {SSN,SSNO\_application,linked sensor,linked\_data,mashup,semantic\_sensor\_web,sensor mashup,sensor stream,stream\_data},
mendeley-tags = {SSN,SSNO\_application,linked\_data,mashup,semantic\_sensor\_web,stream\_data},
pages = {46:1----46:4},
publisher = {ACM},
series = {I-SEMANTICS '10},
title = {{Live linked open sensor database}},
url = {http://doi.acm.org/10.1145/1839707.1839763},
year = {2010}
}

@inproceedings{Leggieri2010,
author = {Leggieri, Myriam and Passant, Alexandre and Hauswirth, Manfred},
booktitle = {The 3rd International workshop on Semantic Sensor Networks 2010 (SSN10) in conjunction with the 9th International Semantic Web Conference (ISWC 2010)},
keywords = {SSN,SSNO\_application,linked\_data,ontology,upper\_ontology},
mendeley-tags = {SSN,SSNO\_application,linked\_data,ontology,upper\_ontology},
title = {{A Contextualised Cognitive Perspective for Linked Sensor Data - Short paper}},
url = {http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-668/paper11.pdf},
year = {2010}
}

@inproceedings{Liu2010,
abstract = {Wireless sensor networks(WSNs) have been increasingly available for large-scale applications in which energy efficiency is an important performance measure. These applications include environmental monitoring and structure monitoring which demand multifarious data. Driven by the energy limitation nature of WSNs lots of research works have been done in aspects such as nodes deployment, routing protocol, topology control, data reduction, sleep scheduling, etc. However, heterogeneous, i.e. hybrid sensor nodes are combined together into semantic sensor networks to provide large-scale applications with content rich information. In this paper, we discuss the potential of energy efficiency that semantization could bring to sensor networks. First we have an overview of some related work and then address current approaches of energy conservation in WSNs as well as how semantization can contribute in each aspect of saving energy. Finally a recommendatory architecture of semantic sensor network is proposed. Semantization will be a promising solution to improve energy efficiency together with system performance.},
author = {Liu, Peng and Hu, Y Fun and Min, Geyong and Dai, Guojun},
booktitle = {2010 IEEE Wireless Communication and Networking Conference},
keywords = {energy\_efficiency,semantic\_sensor\_network},
mendeley-tags = {energy\_efficiency,semantic\_sensor\_network},
month = apr,
pages = {1--6},
publisher = {IEEE},
title = {{Semantization Improves the Energy Efficiency of Wireless Sensor Networks}},
url = {http://ieeexplore.ieee.org/xpl/freeabs\_all.jsp?arnumber=5506384},
year = {2010}
}

Wireless sensor networks(WSNs) have been increasingly available for large-scale applications in which energy efficiency is an important performance measure. These applications include environmental monitoring and structure monitoring which demand multifarious data. Driven by the energy limitation nature of WSNs lots of research works have been done in aspects such as nodes deployment, routing protocol, topology control, data reduction, sleep scheduling, etc. However, heterogeneous, i.e. hybrid sensor nodes are combined together into semantic sensor networks to provide large-scale applications with content rich information. In this paper, we discuss the potential of energy efficiency that semantization could bring to sensor networks. First we have an overview of some related work and then address current approaches of energy conservation in WSNs as well as how semantization can contribute in each aspect of saving energy. Finally a recommendatory architecture of semantic sensor network is proposed. Semantization will be a promising solution to improve energy efficiency together with system performance.

@inproceedings{Liu2010a,
address = {San Francisco, Cal, USA},
author = {Liu, Q and Bai, Q and Zednik, S and Taylor, P and Fox, P A and Taylor, K L and Kloppers, C and Peters, C and Terhorst, A and West, P and Compton, M and Shu, Y},
booktitle = {American Geophysical Union, Fall Meeting 2010},
keywords = {SSN,SSNO\_application,provenance},
mendeley-tags = {SSN,SSNO\_application,provenance},
title = {{A Provenance Model for Real-Time Water Information Systems}},
url = {http://adsabs.harvard.edu/abs/2010AGUFMIN41B1361L},
year = {2010}
}

@inproceedings{Moraru2010,
author = {Moraru, Alexandra and Fortuna, Carolina and Mladenic, Dunja},
booktitle = {4th International Workshop on Knowledge Discovery from Sensor Data (SensorKDD-2010)},
keywords = {discovery,ontology,semantic\_markup,semantic\_sensor\_web},
mendeley-tags = {discovery,ontology,semantic\_markup,semantic\_sensor\_web},
title = {{Using Semantic Annotation for Knowledge Extraction from Geographically Distributed and Heterogeneous Sensor Data}},
url = {http://www.ornl.gov/sci/knowledgediscovery/SensorKDD-2010/SensorKDD'10\_Proceedings.pdf},
year = {2010}
}

@inproceedings{OByrne2010,
abstract = {This paper examines the feasibility of using ontologies to model generic sensor networks, based on the capabilities of the current generation of ontology tools. The creation of such an ontology, the current tool's capacity to adequately maintain it, and its potential functionality, as part of a larger semantic system are addressed here. These topics were addressed by constructing a generic sensor ontology and attempting to implement it as part of a larger semantic system. The process and the conclusions drawn from it are described below.},
author = {O'Byrne, Daniel and Brennan, Rob and O'Sullivan, Declan},
booktitle = {2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)},
keywords = {CSIRO\_SSN\_Ontology,SSNO\_application},
mendeley-tags = {CSIRO\_SSN\_Ontology,SSNO\_application},
month = mar,
pages = {196--201},
publisher = {IEEE},
title = {{Implementing the draft W3C semantic sensor network ontology}},
url = {http://ieeexplore.ieee.org/xpl/freeabs\_all.jsp?arnumber=5470668},
year = {2010}
}

This paper examines the feasibility of using ontologies to model generic sensor networks, based on the capabilities of the current generation of ontology tools. The creation of such an ontology, the current tool's capacity to adequately maintain it, and its potential functionality, as part of a larger semantic system are addressed here. These topics were addressed by constructing a generic sensor ontology and attempting to implement it as part of a larger semantic system. The process and the conclusions drawn from it are described below.

@inproceedings{Pathan2010,
address = {Shanghai, China},
author = {Pathan, Mukaddim and Taylor, Kerry and Compton, Michael},
booktitle = {Proceedings of the 3rd International Semantic Sensor Networks Workshop (SSN10)},
keywords = {SSN,SSNO\_application,self\_configuration,semantic\_sensor\_network,tasking},
mendeley-tags = {SSN,SSNO\_application,self\_configuration,semantic\_sensor\_network,tasking},
pages = {16},
publisher = {CEUR Workshop Proceedings},
title = {{Semantics-based Plug-and-Play Configuration of Sensor Network Services}},
url = {ceur-ws.org/Vol-668/paper5.pdf},
volume = {668},
year = {2010}
}

@inproceedings{Patni2010a,
author = {Patni, H and Henson, C and Sheth, A},
booktitle = {2010 International Symposium on Collaborative Technologies and Systems, (CTS 2010)},
keywords = {OGC\_standards,SSN,discovery,linked\_data,observation},
mendeley-tags = {OGC\_standards,SSN,discovery,linked\_data,observation},
pages = {362--370},
publisher = {IEEE},
title = {{Linked Sensor Data}},
url = {http://knoesis.wright.edu/library/download/CTS-LinkedSensorData.pdf},
year = {2010}
}

@inproceedings{Patni_Sahoo_Henson_Sheth_2010,
author = {Patni, Harshal and Sahoo, Satya S and Henson, Cory and Sheth, Amit},
booktitle = {2nd Workshop on Trust and Privacy on the Social and Semantic Web Colocated with ESWC2010 Heraklion Greece},
keywords = {OGC\_standards,SSN,SSNO\_application,linked\_data,observation,provenance},
mendeley-tags = {OGC\_standards,SSN,SSNO\_application,linked\_data,observation,provenance},
publisher = {CEUR-WS.org},
title = {{Provenance Aware Linked Sensor Data}},
url = {http://knoesis.wright.edu/library/download/SPOT-Provenance\_Aware\_LSD.pdf},
volume = {5},
year = {2010}
}

@inproceedings{Reynolds2010,
author = {Reynolds, Vinny and Hausenblas, Michael and Polleres, Axel and Hauswirth, Manfred and Hegde, Vinod},
booktitle = {W3C Workshop: Augmented Reality on the Web},
keywords = {SSN,augmented\_reality,linked\_data},
mendeley-tags = {SSN,augmented\_reality,linked\_data},
title = {{Exploiting Linked Open Data for Mobile Augmented Reality}},
url = {http://www.w3.org/2010/06/w3car/exploiting\_lod\_for\_ar.pdf},
year = {2010}
}

@techreport{Simonis2010,
author = {Simonis, Ingo},
institution = {GEOSS},
keywords = {OGC\_standards,sensor\_web},
mendeley-tags = {OGC\_standards,sensor\_web},
title = {{GEOSS and the Sensor Web GEOSS Sensor Web Workshop Report}},
url = {http://www.ogcnetwork.net/system/files/GEOSS\_Sensor\_Web\_Workshop\_2010\_Report.pdf},
year = {2010}
}

@inproceedings{stuckenschmidt_et_al:DSP:2010:2555,
address = {Dagstuhl, Germany},
annote = {Keywords: Streaming Data, Reasoning, C-SPARQL, Sensor Networks},
author = {Stuckenschmidt, Heiner and Ceri, Stefano and Valle, Emanuele Della and van Harmelen, Frank},
booktitle = {Semantic Challenges in Sensor Networks},
editor = {Aberer, Karl and Gal, Avigdor and Hauswirth, Manfred and Sattler, Kai-Uwe and Sheth, Amit P},
issn = {1862-4405},
keywords = {SPARQL,SSNO\_application,stream\_data},
mendeley-tags = {SPARQL,SSNO\_application,stream\_data},
number = {10042},
publisher = {Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany},
series = {Dagstuhl Seminar Proceedings},
title = {{Towards Expressive Stream Reasoning}},
url = {http://drops.dagstuhl.de/opus/volltexte/2010/2555},
year = {2010}
}

@article{10.1109/CTRQ.2010.44,
address = {Los Alamitos, CA, USA},
author = {Togias, Konstantinos and Goumopoulos, Christos and Kameas, Achilles},
journal = {International Conference on Communication Theory, Reliability, and Quality of Service},
keywords = {device,ontology,sensor,sensor\_interface},
mendeley-tags = {device,ontology,sensor,sensor\_interface},
pages = {220--225},
publisher = {IEEE Computer Society},
title = {{Ontology-Based Representation of UPnP Devices and Services for Dynamic Context-Aware Ubiquitous Computing Applications}},
url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=5532758},
year = {2010}
}

@inproceedings{Villalonga:2010:RMR:1940159.1940176,
address = {Berlin, Heidelberg},
author = {Villalonga, Claudia and Bauer, Martin and Aguilar, Fernando L\'{o}pez and Huang, Vincent A and Strohbach, Martin},
booktitle = {Proceedings of the 5th European conference on Smart sensing and context},
keywords = {SSN,SSNO\_application,actuator,internet\_of\_things,real world internet,resource,resource description,resource model,sensor and actuator networks},
mendeley-tags = {SSN,SSNO\_application,actuator,internet\_of\_things},
pages = {163--176},
publisher = {Springer-Verlag},
series = {EuroSSC'10},
title = {{A resource model for the real world internet}},
url = {http://www.springerlink.com/index/EJXM56331G8W7RK2.pdf},
year = {2010}
}

@inproceedings{Wagner2010,
address = {Ghent},
author = {Wagner, Andreas and Anicic, Darko and St\"{u}hmer, Roland and Stojanovic, Nenad and Harth, Andreas and Studer, Rudi},
booktitle = {Proc. of Linked Data in the Future Internet at the Future Internet Assembly},
keywords = {SSNO\_application,internet\_of\_things,linked\_data,myOwn CEP iCEP 2010 SmartGrid,stream\_data},
mendeley-tags = {SSNO\_application,internet\_of\_things,linked\_data,stream\_data},
month = dec,
publisher = {CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)},
title = {{Linked Data and Complex Event Processing for the Smart Energy Grid}},
url = {http://linkeddata.future-internet.eu/images/3/37/FIA2010\_Linked\_Data\_and\_Complex\_Event\_Processing\_for\_the\_Smart\_Energy\_Grid.pdf},
year = {2010}
}

@inproceedings{Barnaghi2009,
author = {Barnaghi, Payam and Meissner, Stefan and Presser, Mirko},
booktitle = {Proceedings of the ICT Mobile Summit 2009},
keywords = {OGC\_standards,SSN,knowledge modelling,observation,ontologies,ontology,sensor networks,sensorml},
mendeley-tags = {OGC\_standards,SSN,observation,ontology},
pages = {1--9},
title = {{Sense and sensability: Semantic data modelling for sensor networks}},
url = {http://personal.ee.surrey.ac.uk/Personal/P.Barnaghi/doc/SENSEI-paper-CCSR.pdf},
year = {2009}
}

@inproceedings{Bell2009,
address = {Washington DC, USA},
annote = {short paper},
author = {Bell, David and Heravi, Bahareh Rahmanzadeh and Lycett, Mark},
booktitle = {Proceedings of the 2nd International Workshop on Semantic Sensor Networks (SSN09) at ISWC 2009},
editor = {Taylor, Kerry and Ayyagari, Arun and Roure, David De},
keywords = {comparison,ontology,semantic\_sensor\_web,sensor},
mendeley-tags = {comparison,ontology,sensor},
month = nov,
organization = {CEUR Workshop Proceedings},
pages = {96--109},
publisher = {CEUR-WS.org},
title = {{Sensory Semantic User Interfaces (SenSUI): Position Paper}},
url = {http://ceur-ws.org/Vol-522/p5.pdf},
volume = {522},
year = {2009}
}

@inproceedings{Bermudez2010,
author = {Bermudez, L and Delory, E and O'Reilly, T and {del Rio Fernandez}, J},
booktitle = {OCEANS 2009, MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges},
keywords = {AD 2007,ESONET,European Seafloor Observatory Netwo,OGC\_standards,SSN,observation,ontology,sensor},
mendeley-tags = {OGC\_standards,SSN,observation,ontology,sensor},
pages = {1--7},
title = {{Ocean observing systems demystified}},
url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=5422300},
year = {2009}
}

@inproceedings{Brennan2009,
abstract = {Modern smart buildings utilize sensor networks for facilities management applications such as energy monitoring. However as buildings become progressively more embedded with sensor networks, the challenge of managing and maintaining the sensor networks themselves becomes ever more significant. As a cost-sensitive activity, facilities management deployments are less likely to deploy node redundancy and specialized technical staff to maintain these networks. Hence there are strong requirements for the network to efficiently self-diagnose, self-heal and integrate with standard buildings management systems. This paper introduces a solution for WSN management in smart buildings that addresses these issues. It is based on the deployment of the open framework middleware for sensor networks coupled with a structured knowledge and rule-based fault analysis engine to perform network event correlation and root cause analysis. The system also explicitly interfaces with a building management system (BMS) or the scheduling of network maintenance activities such as sensor battery replacement.},
author = {Brennan, Rob and Tai, Wei and O'Sullivan, Declan and Aslam, Muhammad S and Rea, Susan and Pesch, Dirk},
booktitle = {2009 International Conference on Ultra Modern Telecommunications \& Workshops},
keywords = {diagnosis,ontology,sensor\_network},
mendeley-tags = {diagnosis,ontology,sensor\_network},
month = oct,
pages = {1--7},
publisher = {IEEE},
title = {{Open Framework Middleware for intelligent WSN topology adaption in smart buildings}},
url = {http://www.tara.tcd.ie/jspui/bitstream/2262/39210/1/icumt2009 Nembes paperb-nearSubmitted.doc},
year = {2009}
}

Modern smart buildings utilize sensor networks for facilities management applications such as energy monitoring. However as buildings become progressively more embedded with sensor networks, the challenge of managing and maintaining the sensor networks themselves becomes ever more significant. As a cost-sensitive activity, facilities management deployments are less likely to deploy node redundancy and specialized technical staff to maintain these networks. Hence there are strong requirements for the network to efficiently self-diagnose, self-heal and integrate with standard buildings management systems. This paper introduces a solution for WSN management in smart buildings that addresses these issues. It is based on the deployment of the open framework middleware for sensor networks coupled with a structured knowledge and rule-based fault analysis engine to perform network event correlation and root cause analysis. The system also explicitly interfaces with a building management system (BMS) or the scheduling of network maintenance activities such as sensor battery replacement.

@inproceedings{Broring,
abstract = {The goal of the Sensor Web Enablement (SWE) initiative of the Open Geospatial Consortium (OGC) is the definition of web service interfaces and data encodings to make sensors discoverable, taskable and accessible on the World Wide Web. The SWE specifications enable a standardized communication and interaction with arbitrary types of sensors and sensor systems. The central concepts within OGC's Sensor Web architecture are sensors, observations and features of interest. Sensors and their observations can be registered and stored through the Sensor Observation Service (SOS) to make them accessible for clients. So far, mechanisms are missing which support a semantic matching between features of interest stored in a database and referred to by an observation. The same applies for the matching between observations as sensor outputs and the properties of the features of interest. By taking a use case from disaster management, we outline the challenges and demonstrate how semantically annotated SWE data models and service interfaces support semantic matching. The result is a roadmap towards a semantically enabled sensor plug \& play within the Sensor Web.},
address = {Berlin, Heidelberg},
author = {Br\"{o}ring, Arne and Janowicz, Krzysztof and Stasch, Christoph and Kuhn, Werner},
booktitle = {W2GIS '09: Proceedings of the 9th International Symposium on Web and Wireless Geographical Information Systems},
keywords = {OGC\_standards,SSN,observation,semantic\_markup,semantic\_sensor\_web},
mendeley-tags = {OGC\_standards,SSN,observation,semantic\_markup,semantic\_sensor\_web},
pages = {72--86},
publisher = {Springer-Verlag},
title = {{Semantic Challenges for Sensor Plug and Play}},
url = {http://dx.doi.org/10.1007/978-3-642-10601-9\_6},
volume = {5886},
year = {2009}
}

The goal of the Sensor Web Enablement (SWE) initiative of the Open Geospatial Consortium (OGC) is the definition of web service interfaces and data encodings to make sensors discoverable, taskable and accessible on the World Wide Web. The SWE specifications enable a standardized communication and interaction with arbitrary types of sensors and sensor systems. The central concepts within OGC's Sensor Web architecture are sensors, observations and features of interest. Sensors and their observations can be registered and stored through the Sensor Observation Service (SOS) to make them accessible for clients. So far, mechanisms are missing which support a semantic matching between features of interest stored in a database and referred to by an observation. The same applies for the matching between observations as sensor outputs and the properties of the features of interest. By taking a use case from disaster management, we outline the challenges and demonstrate how semantically annotated SWE data models and service interfaces support semantic matching. The result is a roadmap towards a semantically enabled sensor plug & play within the Sensor Web.

@inproceedings{Compton2009a,
address = {Washington DC, USA},
author = {Compton, Michael and Henson, Cory and Neuhaus, Holger and Lefort, Laurent and Sheth, Amit},
booktitle = {Proceedings of the 2nd International Workshop on Semantic Sensor Networks (SSN09) at ISWC 2009},
editor = {Taylor, Kerry and Ayyagari, Arun and Roure, David De},
keywords = {SSN,SSN\_XG,comparison,ontology,sensor},
mendeley-tags = {SSN,SSN\_XG,comparison,ontology,sensor},
month = nov,
organization = {CEUR Workshop Proceedings},
pages = {17--32},
publisher = {CEUR-WS.org},
title = {{A Survey of the Semantic Specification of Sensors}},
url = {http://ceur-ws.org/Vol-522/p7.pdf},
volume = {522},
year = {2009}
}

@inproceedings{Compton2009b,
address = {Washington DC, USA},
author = {Compton, Michael and Neuhaus, Holger and Taylor, Kerry and Tran, Khoi-Nguyen},
booktitle = {Proceedings of the 2nd International Workshop on Semantic Sensor Networks (SSN09) at ISWC 2009},
editor = {Taylor, Kerry and Ayyagari, Arun and Roure, David De},
keywords = {CSIRO\_SSN\_Ontology,SSN,ontology,sensor,service\_composition},
mendeley-tags = {CSIRO\_SSN\_Ontology,SSN,ontology,sensor,service\_composition},
month = nov,
organization = {CEUR Workshop Proceedings},
pages = {33--48},
publisher = {CEUR-WS.org},
title = {{Reasoning about Sensors and Compositions}},
url = {http://ceur-ws.org/Vol-522/p7.pdf},
volume = {522},
year = {2009}
}

@article{DaRocha2009,
abstract = {In this paper we present a proposal that combines the benefits of autonomic and semantic sensor networks to build a semantic middleware for autonomic wireless sensor networks. The key feature of the proposed middleware is a rule-based reasoning engine based on ontology and fuzzy logic. We also propose a semantic-aware topology control based on computing semantic neighborhoods relationships. The middleware was tailored to provide support for Structural Health Monitoring applications. However, it has a flexible architecture and it can be extensible to several other application domains such as ambient intelligence, habitat monitoring and fire detection. We use the oil platform structural health monitoring domain as a case study. The paper presents the middleware architecture and the proposed ontologies.},
author = {{Da Rocha}, A R and Delicato, F C and {De Souza}, J N and Gomes, D G and Pirmez, L},
journal = {Proceedings of the 2009 Workshop on Middleware for Ubiquitous and Pervasive Systems WMUPS 09},
keywords = {au,ontology,semantic\_sensor\_network,semantics aware,structural health monitoring,tonomic computing,topology,wireless sensor networks middleware},
mendeley-tags = {ontology,semantic\_sensor\_network},
pages = {19--25},
publisher = {ACM Press},
title = {{A semantic middleware for autonomic wireless sensor networks}},
url = {http://portal.acm.org/citation.cfm?doid=1551693.1551697},
volume = {389},
year = {2009}
}

In this paper we present a proposal that combines the benefits of autonomic and semantic sensor networks to build a semantic middleware for autonomic wireless sensor networks. The key feature of the proposed middleware is a rule-based reasoning engine based on ontology and fuzzy logic. We also propose a semantic-aware topology control based on computing semantic neighborhoods relationships. The middleware was tailored to provide support for Structural Health Monitoring applications. However, it has a flexible architecture and it can be extensible to several other application domains such as ambient intelligence, habitat monitoring and fire detection. We use the oil platform structural health monitoring domain as a case study. The paper presents the middleware architecture and the proposed ontologies.

@article{Jabeur,
abstract = {In this paper, we describe a meta-framework that helps guide development of sensor network (SN) cyberinfrastructure in a way that enables emerging sensor infrastructures, including advances in sensor hardware, communication, monitoring applications, and knowledge representation, to interoperate. This framework is guided by the DAST principle. That is, the overall goal of any SN infrastructure is essentially the same: to acquire the right Data from the right Area using the right Sensors at the right Time. In conformity with this principle, our meta-framework integrates SN infrastructures along axes related to the answers to five questions: Why has processing been requested? What are the goals of the processing? Where is it carried out? How is it carried out? And, when will the results be provided? The infrastructure components are integrated by using various data standards and technologies currently available from various SN research groups, and mapping them to an overarching knowledge-based meta-framework. In concrete terms, we show in this paper how four distinct sensor technology projects under development in our research lab are used to fit these five axes of SN infrastructure and how they can be indirectly integrated through the use of software agent-based tools, which embody the meta-framework: an ontology-based decision support system that applies models of SN infrastructure to its evaluation techniques; SN configuration tools that enable network configurations to be exported into common geospatial standards; a transformation engine that converts these SN configurations, along with collected data, into a representation that meshes with our infrastructure models so that they may be used within our decision support environment; and a Virtual SN to handle many of the management and control aspects of SNs.},
address = {Tarrytown, NY, USA},
author = {Jabeur, Nafa\'{\i} and McCarthy, James D and Xing, Xitao and Graniero, Phil A},
doi = {http://dx.doi.org/10.1016/j.cageo.2008.04.006},
issn = {0098-3004},
journal = {Computers \& Geosciences},
keywords = {Agent-based software,Interoperability,OGC\_standards,Sensor network integration,Sensor webs,observation,ontology,sensor\_network},
mendeley-tags = {OGC\_standards,observation,ontology,sensor\_network},
number = {4},
pages = {809--819},
publisher = {Pergamon Press, Inc.},
title = {{A knowledge-oriented meta-framework for integrating sensor network infrastructures}},
url = {http://dx.doi.org/10.1016/j.cageo.2008.04.006},
volume = {35},
year = {2009}
}

In this paper, we describe a meta-framework that helps guide development of sensor network (SN) cyberinfrastructure in a way that enables emerging sensor infrastructures, including advances in sensor hardware, communication, monitoring applications, and knowledge representation, to interoperate. This framework is guided by the DAST principle. That is, the overall goal of any SN infrastructure is essentially the same: to acquire the right Data from the right Area using the right Sensors at the right Time. In conformity with this principle, our meta-framework integrates SN infrastructures along axes related to the answers to five questions: Why has processing been requested? What are the goals of the processing? Where is it carried out? How is it carried out? And, when will the results be provided? The infrastructure components are integrated by using various data standards and technologies currently available from various SN research groups, and mapping them to an overarching knowledge-based meta-framework. In concrete terms, we show in this paper how four distinct sensor technology projects under development in our research lab are used to fit these five axes of SN infrastructure and how they can be indirectly integrated through the use of software agent-based tools, which embody the meta-framework: an ontology-based decision support system that applies models of SN infrastructure to its evaluation techniques; SN configuration tools that enable network configurations to be exported into common geospatial standards; a transformation engine that converts these SN configurations, along with collected data, into a representation that meshes with our infrastructure models so that they may be used within our decision support environment; and a Virtual SN to handle many of the management and control aspects of SNs.

@inproceedings{Lefort2009,
address = {Melbourne, Australia},
author = {Lefort, Laurent},
booktitle = {Australasian Ontology Workshop 2009 (AOW 2009)},
editor = {Meyer, T and Taylor, K},
keywords = {mashup,semantic\_markup},
mendeley-tags = {mashup,semantic\_markup},
pages = {17--26},
publisher = {ACS},
series = {CRPIT},
title = {{Review of semantic enablement techniques used in geospatial and semantic standards for legacy and opportunistic mashups}},
url = {http://crpit.com/confpapers/CRPITV112Lefort.pdf},
volume = {112},
year = {2009}
}

@inproceedings{Neuhaus2009,
annote = {http://www.esdi-humboldt.eu/workshops/agile2009.html},
author = {Neuhaus, Holger and Compton, Michael},
booktitle = {AGILE Workshop Challenges in Geospatial Data Harmonisation},
keywords = {CSIRO\_SSN\_Ontology,SSN,ontology,semantic interoperability,semantic sensor network,sensor},
mendeley-tags = {CSIRO\_SSN\_Ontology,SSN,ontology,sensor},
month = jun,
title = {{The Semantic Sensor Network Ontology: A Generic Language to Describe Sensor Assets}},
url = {http://www.w3.org/2005/Incubator/ssn/wiki/images/2/2e/SemanticSensorNetworkOntology.pdf},
year = {2009}
}

@inproceedings{OReilly2009,
author = {O'Reilly, T C and Headley, K and Edgington, D R and Rueda, C and Lee, K and Song, E and Zedlitz, J and del Rio, J and Toma, D and Manuel, A and Delory, E and Waldmann, C and Fairgrieve, S and Bermudez, L and Bridger, E and Bogden, P and Amirault, A},
booktitle = {OCEANS 2009 - EUROPE},
keywords = {OGC\_standards,instrument interface standards,instrument interope,sensor\_interface,sensor\_web},
mendeley-tags = {OGC\_standards,sensor\_interface,sensor\_web},
month = may,
pages = {1--10},
title = {{Instrument interface standards for interoperable ocean sensor networks}},
url = {http://dx.doi.org/10.1109/OCEANSE.2009.5278251},
year = {2009}
}

@inproceedings{Page2009,
address = {Washington DC, USA},
author = {Page, Kevin and Roure, David De and Martinez, Kirk and Sadler, Jason and Kit, Oles},
booktitle = {Proceedings of the 2nd International Workshop on Semantic Sensor Networks (SSN09) at ISWC 2009},
editor = {Taylor, Kerry and Ayyagari, Arun and Roure, David De},
keywords = {OGC\_standards,SSN,linked\_data,observation,semantic\_sensor\_web},
mendeley-tags = {OGC\_standards,SSN,linked\_data,observation,semantic\_sensor\_web},
month = nov,
organization = {CEUR Workshop Proceedings},
pages = {49--63},
publisher = {CEUR-WS.org},
title = {{Linked Sensor Data: RESTfully serving RDF and GML}},
url = {http://ceur-ws.org/Vol-522/p10.pdf},
volume = {522},
year = {2009}
}

@inproceedings{Sequeda2009b,
address = {Washington DC, USA},
annote = {short paper},
author = {Sequeda, Juan and Corcho, Oscar},
booktitle = {Proceedings of the 2nd International Workshop on Semantic Sensor Networks (SSN09) at ISWC 2009},
editor = {Taylor, Kerry and Ayyagari, Arun and Roure, David De},
keywords = {SSN,linked\_data,sensor\_web,stream\_data},
mendeley-tags = {SSN,linked\_data,sensor\_web,stream\_data},
month = nov,
organization = {CEUR Workshop Proceedings},
pages = {148--157},
publisher = {CEUR-WS.org},
title = {{Linked Stream Data: A Position Paper}},
url = {http://ceur-ws.org/Vol-522/p13.pdf},
volume = {522},
year = {2009}
}

@article{Singh2009,
author = {Singh, R and Gernaey, K and Gani, R},
doi = {10.1016/j.compchemeng.2008.06.002},
issn = {00981354},
journal = {Computers \& Chemical Engineering},
keywords = {actuator,monitoring and analysis,ontology,sensor\_selection},
mendeley-tags = {actuator,ontology,sensor\_selection},
month = jan,
number = {1},
pages = {22--42},
title = {{Model-based computer-aided framework for design of process monitoring and analysis systems}},
url = {http://dx.doi.org/10.1016/j.compchemeng.2008.06.002},
volume = {33},
year = {2009}
}

@inproceedings{Stasch,
abstract = {The understanding of complex environmental phenomena, such as deforestation and epidemics, requires observations at multiple scales. This scale dependency is not handled well by today's rather technical sensor definitions. Geosensor networks are normally defined as distributed ad-hoc wireless networks of computing platforms serving to monitor phenomena in geographic space. Such definitions also do not admit animals as sensors. Consequently, they exclude human sensors, which are the key to volunteered geographic information, and they fail to support connections between phenomena observed at multiple scales. We propose definitions of sensors as information sources at multiple aggregation levels, relating physical stimuli to observations. An algebraic formalization shows their behavior as well as their aggregations and generalizations. It is intended as a basis for defining consistent application programming interfaces to sense the environment at multiple scales of observations and with different types of sensors.},
address = {Berlin, Heidelberg},
author = {Stasch, Christoph and Janowicz, Krzysztof and Br\"{o}ring, Arne and Reis, Ilka and Kuhn, Werner},
booktitle = {GSN '09: Proceedings of the 3rd International Conference on GeoSensor Networks},
doi = {http://dx.doi.org/10.1007/978-3-642-02903-5\_17},
isbn = {978-3-642-02902-8},
keywords = {SSN,observation,ontology,sensor},
mendeley-tags = {SSN,observation,ontology,sensor},
pages = {169},
publisher = {Springer-Verlag},
series = {Lecture Notes In Computer Science},
title = {{A Stimulus-Centric Algebraic Approach to Sensors and Observations}},
url = {http://www.springerlink.com/index/687302MRK771643M.pdf},
volume = {5659},
year = {2009}
}

The understanding of complex environmental phenomena, such as deforestation and epidemics, requires observations at multiple scales. This scale dependency is not handled well by today's rather technical sensor definitions. Geosensor networks are normally defined as distributed ad-hoc wireless networks of computing platforms serving to monitor phenomena in geographic space. Such definitions also do not admit animals as sensors. Consequently, they exclude human sensors, which are the key to volunteered geographic information, and they fail to support connections between phenomena observed at multiple scales. We propose definitions of sensors as information sources at multiple aggregation levels, relating physical stimuli to observations. An algebraic formalization shows their behavior as well as their aggregations and generalizations. It is intended as a basis for defining consistent application programming interfaces to sense the environment at multiple scales of observations and with different types of sensors.

@inproceedings{Taylor2009,
address = {Melbourne, Australia},
author = {Taylor, Kerry and Penkala, Patrick},
booktitle = {Advances in Ontologies: Proceedings of the Australasian Ontology workshop},
keywords = {SSN,ontology,programming,semantic\_sensor\_network},
mendeley-tags = {SSN,ontology,programming,semantic\_sensor\_network},
publisher = {Australasian Computer Society},
title = {{Using Explicit Semantic Representations for User Programming of Sensor Devices}},
url = {http://crpit.com/confpapers/CRPITV112Taylor.pdf},
volume = {112},
year = {2009}
}

@unpublished{Tran2009,
annote = {Honours Thesis. The Australian National University},
author = {Tran, Khoi-Nguyen},
keywords = {CSIRO\_SSN\_Ontology,ontology,sensor,service\_composition},
mendeley-tags = {CSIRO\_SSN\_Ontology,ontology,sensor,service\_composition},
title = {{Semantic Sensor Composition}},
url = {http://cs.anu.edu.au/people/Nguyen.Tran/SemanticSensorComposition/Thesis/thesis\_honours.pdf},
year = {2009}
}

@inproceedings{Wei,
abstract = {Developments in (wireless) sensor and actuator networks and the capabilities to manufacture low cost and energy efficient networked embedded devices have lead to considerable interest in adding real world sense to the Internet and the Web. Recent work has raised the idea towards combining the Internet of Things (i.e. real world resources) with semantic Web technologies to design future service and applications for the Web. In this paper we focus on the current developments and discussions on designing Semantic Sensor Web, particularly, we advocate the idea of semantic annotation with the existing authoritative data published on the semantic Web. Through illustrative examples, we demonstrate how rule-based reasoning can be performed over the sensor observation and measurement data and linked data to derive additional or approximate knowledge. Furthermore, we discuss the association between sensor data, the semantic Web, and the social Web which enable construction of context-aware applications and services, and contribute to construction of a networked knowledge framework.},
address = {Berlin, Heidelberg},
author = {Wei, Wang and Barnaghi, Payam},
booktitle = {EuroSSC'09: Proceedings of the 4th European conference on Smart sensing and context},
isbn = {3-642-04470-0, 978-3-642-04470-0},
issn = {0302-9743},
keywords = {SSN,linked data,linked\_data,observation,ontology,reasoning,semantic annotation,semantic web,sensor,sensor data modelling},
mendeley-tags = {SSN,linked\_data,observation,ontology,sensor},
pages = {66--76},
publisher = {Springer-Verlag},
title = {{Semantic annotation and reasoning for sensor data}},
url = {http://www.springerlink.com/index/l6h748q029v4657g.pdf},
year = {2009}
}

Developments in (wireless) sensor and actuator networks and the capabilities to manufacture low cost and energy efficient networked embedded devices have lead to considerable interest in adding real world sense to the Internet and the Web. Recent work has raised the idea towards combining the Internet of Things (i.e. real world resources) with semantic Web technologies to design future service and applications for the Web. In this paper we focus on the current developments and discussions on designing Semantic Sensor Web, particularly, we advocate the idea of semantic annotation with the existing authoritative data published on the semantic Web. Through illustrative examples, we demonstrate how rule-based reasoning can be performed over the sensor observation and measurement data and linked data to derive additional or approximate knowledge. Furthermore, we discuss the association between sensor data, the semantic Web, and the social Web which enable construction of context-aware applications and services, and contribute to construction of a networked knowledge framework.

@inproceedings{Huang2008,
abstract = {Wireless sensor networks (WSN) generate large volumes of raw data which possess natural heterogeneity. WSNs are normally application specific with no sharing or reusability of sensor data among applications. In order for applications and services to be developed independently of particular WSNs, sensor data need to be enriched with semantic information. In this paper, we propose a semantic Web architecture for sensor networks (SWASN). This information oriented architecture allows the sensor data to be understood and processed in a meaningful way by a variety of applications with different purposes. We develop ontologies for sensor data and use the Jena API for processing which includes querying and inference over sensor data. By studying a building fire emergency scenario, we show that semantic Web technologies can provide high level information extraction and inference of sensor data.},
address = {Washington, DC, USA},
author = {Huang, Vincent and Javed, Muhammad Kashif},
booktitle = {SENSORCOMM '08: Proceedings of the 2008 Second International Conference on Sensor Technologies and Applications},
doi = {http://dx.doi.org/10.1109/SENSORCOMM.2008.23},
isbn = {978-0-7695-3330-8},
keywords = {SSN,linked\_data,ontology,semantic\_sensor\_network,sensor},
mendeley-tags = {SSN,linked\_data,ontology,semantic\_sensor\_network,sensor},
month = aug,
pages = {456--461},
publisher = {IEEE Computer Society},
title = {{Semantic Sensor Information Description and Processing}},
url = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=4622703},
year = {2008}
}

Wireless sensor networks (WSN) generate large volumes of raw data which possess natural heterogeneity. WSNs are normally application specific with no sharing or reusability of sensor data among applications. In order for applications and services to be developed independently of particular WSNs, sensor data need to be enriched with semantic information. In this paper, we propose a semantic Web architecture for sensor networks (SWASN). This information oriented architecture allows the sensor data to be understood and processed in a meaningful way by a variety of applications with different purposes. We develop ontologies for sensor data and use the Jena API for processing which includes querying and inference over sensor data. By studying a building fire emergency scenario, we show that semantic Web technologies can provide high level information extraction and inference of sensor data.

@inproceedings{Li2008,
abstract = {We propose that a semantic service-oriented approach is one of the best techniques to cope with challenges in wireless sensor network (WSN) applications. This paper offers a framework for sensor network services that aims to improve query processing. We expect this framework will address current challenges and issues preventing the wider uptake of WSN technology. More specifically, we propose a semantic service-oriented framework with a focus on query processing to allow distributed end-users to request streams of interest easily and efficiently, based on the principle of pushing the query down to the network nodes as much as possible. As such, the lifetime and utility of the sensor network will be maximised, ultimately leading to the success of WSN deployments. The importance of semantics, which aims to support sensor capability modelling and query writing has been highlighted. On the other hand, query rewriting is emphasised followed by examples to illustrate that query rewriting can significantly contribute to the overall power efficiency of WSNs.},
address = {Berlin, Heidelberg},
author = {Li, Lily and Taylor, Kerry},
booktitle = {Service-Oriented Computing ICSOC 2008},
editor = {Bouguettaya, Athman and Krueger, Ingolf and Margaria, Tiziana},
issn = {0302-9743},
keywords = {SSN,programming,semantic\_sensor\_network,stream\_data},
mendeley-tags = {SSN,programming,semantic\_sensor\_network,stream\_data},
pages = {347--361},
publisher = {Springer Berlin Heidelberg},
series = {Lecture Notes in Computer Science},
title = {{A Framework for Semantic Sensor Network Services}},
url = {http://www.springerlink.com/content/g87801n171869715},
volume = {5364},
year = {2008}
}

We propose that a semantic service-oriented approach is one of the best techniques to cope with challenges in wireless sensor network (WSN) applications. This paper offers a framework for sensor network services that aims to improve query processing. We expect this framework will address current challenges and issues preventing the wider uptake of WSN technology. More specifically, we propose a semantic service-oriented framework with a focus on query processing to allow distributed end-users to request streams of interest easily and efficiently, based on the principle of pushing the query down to the network nodes as much as possible. As such, the lifetime and utility of the sensor network will be maximised, ultimately leading to the success of WSN deployments. The importance of semantics, which aims to support sensor capability modelling and query writing has been highlighted. On the other hand, query rewriting is emphasised followed by examples to illustrate that query rewriting can significantly contribute to the overall power efficiency of WSNs.

@inproceedings{Preece:2008p7026,
author = {Preece, A and Gomez, M and de Mel, G and Vasconcelos, W and Sleeman, D and Colley, S and Pearson, G and Pham, T and Porta, T L},
booktitle = {SPIE Defense Transformation and Net-Centric Systems},
keywords = {ontology,sensor,tasking},
mendeley-tags = {ontology,sensor,tasking},
title = {{Matching sensors to missions using a knowledge-based approach}},
url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.141.2140\&rep=rep1\&type=pdf},
year = {2008}
}

@inproceedings{Eid2007,
abstract = {In this paper, we present our work towards the development and evaluation of an ontology for searching distributed and heterogeneous sensor networks data. In particular, we propose a two layer prototype ontology that utilizes the IEEE Suggested Upper Merged Ontology (SUMO) as a root definition of general concepts and associations and two sub- ontologies: the sensor data sub-ontology and the sensor hierarchy sub-ontology. The proposed ontology was implemented using Protege 2000 and eventually evaluated using the RDQL language (RDF Data Query Language). The performance analysis demonstrated the ability of the ontology-based search to improve both the precision and recall rates and enhance the interoperability between different sensor networks domains through the use of the universal SUMO ontology.},
author = {Eid, Mohamad and Liscano, Ramiro and {El Saddik}, Abdulmotaleb},
booktitle = {2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications},
doi = {10.1109/CIMSA.2007.4362539},
isbn = {9781424408238},
keywords = {ontology,sensor\_network},
mendeley-tags = {ontology,sensor\_network},
number = {June},
pages = {59--62},
publisher = {IEEE},
title = {{A Universal Ontology for Sensor Networks Data}},
url = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=4362539},
year = {2007}
}

In this paper, we present our work towards the development and evaluation of an ontology for searching distributed and heterogeneous sensor networks data. In particular, we propose a two layer prototype ontology that utilizes the IEEE Suggested Upper Merged Ontology (SUMO) as a root definition of general concepts and associations and two sub- ontologies: the sensor data sub-ontology and the sensor hierarchy sub-ontology. The proposed ontology was implemented using Protege 2000 and eventually evaluated using the RDQL language (RDF Data Query Language). The performance analysis demonstrated the ability of the ontology-based search to improve both the precision and recall rates and enhance the interoperability between different sensor networks domains through the use of the universal SUMO ontology.

@inproceedings{Hu,
abstract = {It is important to provide adaptive data processing in wireless sensor networks in order to deal with various applications. In this paper, we propose a WIreless Sensor Networks Ontology (WISNO) for flexible modeling of sensor data. WISNO contains two-tier ontologies, a front-end for coarse-grained analysis and a back-end for high-level fine-grained data processing. We also describes the WISNO reasoning rules that adopts description logic and SWRL for managing data automatically.},
address = {ICST, Brussels, Belgium, Belgium},
author = {Hu, Yuheng and Wu, Zhendong and Guo, Ming},
booktitle = {InfoScale '07: Proceedings of the 2nd international conference on Scalable information systems},
isbn = {978-1-59593-757-5},
keywords = {SWRL,description logic,ontology,sensor\_network,wireless sensor networks},
mendeley-tags = {ontology,sensor\_network},
pages = {1--2},
publisher = {ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)},
title = {{Ontology driven adaptive data processing in wireless sensor networks}},
url = {http://portal.acm.org/citation.cfm?id=1366804.1366864},
year = {2007}
}

It is important to provide adaptive data processing in wireless sensor networks in order to deal with various applications. In this paper, we propose a WIreless Sensor Networks Ontology (WISNO) for flexible modeling of sensor data. WISNO contains two-tier ontologies, a front-end for coarse-grained analysis and a back-end for high-level fine-grained data processing. We also describes the WISNO reasoning rules that adopts description logic and SWRL for managing data automatically.

@inproceedings{McCarthy2006,
author = {McCarthy, J D and Graniero, P A},
booktitle = {Proceedings of the 9th International Conference on GeoComputation},
keywords = {OGC\_standards,ontology,sensor},
mendeley-tags = {OGC\_standards,ontology,sensor},
month = sep,
pages = {1--5},
title = {{Reasoning-Ready Sensor Data}},
url = {http://www.geocomputation.org/2007/3A-Semantics\_Ontologies\_Concepts\_2/3A2.pdf},
year = {2007}
}

@inproceedings{Eid2006a,
author = {Eid, M and Liscano, R and {El Saddik}, A},
booktitle = {Proceedings of 2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications},
doi = {10.1109/CIMSA.2006.250753},
keywords = {ieee 1451,ontology,ontology design,semantic representation,sensor networks,sensor\_network},
mendeley-tags = {ontology,sensor\_network},
month = jul,
pages = {75--79},
publisher = {IEEE},
title = {{A Novel Ontology for Sensor Networks Data}},
url = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=4016829},
year = {2006}
}

@inproceedings{Goodwin2006b,
author = {Goodwin, C and Russomanno, D J},
booktitle = {Fifth International Conference on Information Processing in Sensor Networks},
keywords = {data fusion,language,ontology,ontology web,owl,semantic web,sensor,sensor ontology},
mendeley-tags = {ontology,sensor},
publisher = {Citeseer},
title = {{An ontology-based sensor network prototype environment}},
url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.133.5324\&rep=rep1\&type=pdf},
year = {2006}
}

@article{Kim2007a,
author = {Kim, H M and Sengupta, A and Fox, M S and Dalkilic, M D A Jan-Mar},
issn = {10638016},
journal = {Journal of Database Management},
keywords = {measurement,ontology,sensor},
mendeley-tags = {measurement,ontology,sensor},
pages = {20--42},
title = {{A measurement ontology generalizable for emerging domain applications on the Semantic Web}},
url = {http://www.informatics.indiana.edu/dalkilic/papers/jdb.pdf},
volume = {18},
year = {2006}
}

@inproceedings{Lewis2006,
author = {Lewis, M and Cameron, D and Xie, S and Arpinar, I B},
booktitle = {1st Semantic Sensor Networks Workshop SSN06 collocated with ISWC},
keywords = {ontology,sensor},
mendeley-tags = {ontology,sensor},
title = {{ES3N: A Semantic Approach to Data Management in Sensor Networks}},
url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.67.5247\&rep=rep1\&type=pdf},
year = {2006}
}

@inproceedings{probst06,
author = {Probst, Florian},
booktitle = {In: Proc. of the 4th. International Conference on Geographic Information Science (\{GIScience\})},
keywords = {OGC\_standards,observation,ontology,upper\_ontology},
mendeley-tags = {OGC\_standards,observation,ontology,upper\_ontology},
pages = {304--320},
title = {{An Ontological Analysis of Observations and Measurements}},
url = {http://www.springerlink.com/content/c21828347287k4u4/},
year = {2006}
}

@unpublished{Robin2006,
author = {Robin, Alexandre and Botts, M E},
booktitle = {White Paper Earth System Science Center NSSTC University of Alabama in Huntsville UAH},
keywords = {OGC\_standards,sensor,sensor\_web},
mendeley-tags = {OGC\_standards,sensor,sensor\_web},
title = {{Creation of Specific SensorML Process Models}},
url = {http://vast.uah.edu/svn/documents/CreatingSensorMLProcess/Creating\_SensorML\_Process\_Models\_preV1.0.pdf},
volume = {2006},
year = {2006}
}

@inproceedings{Matheus2005a,
author = {Matheus, Christopher J and Tribble, David and Kokar, Mieczyslaw M and Ceruti, Marion G and McGirr, Scott C},
booktitle = {International Command Control Research and Technology Symposium},
keywords = {data\_fusion,ontology,sensor},
mendeley-tags = {data\_fusion,ontology,sensor},
title = {{Towards a Formal Pedigree Ontology for Level-One Sensor Fusion}},
url = {http://oai.dtic.mil/oai/oai?verb=getRecord\&metadataPrefix=html\&identifier=ADA444581},
year = {2005}
}

@inproceedings{Peng2005,
author = {Peng, Jun and Law, K H},
booktitle = {Computing in Civil Engineering},
keywords = {cyberinfrastructure,data and metadata,data model,earthquake simulation,neesgrid,ontology,sensor\_network},
mendeley-tags = {ontology,sensor\_network},
month = jul,
pages = {1--10},
title = {{Reference Data Models for Supporting the Network for Earthquake Engineering Simulation (NEES)}},
url = {http://dx.doi.org/10.1061/40794(179)129},
year = {2005}
}

@inproceedings{Russomannoa,
abstract = {This paper presents a practical approach to developing comprehensive sensor ontologies based upon deep knowledge models rather than capturing only superficial sensor attributes. It is proposed that the representation and utilization of deep sensor ontologies would enable a variety of sensor information system applications including sensor parts compatibility determination, dynamic sensor selection and tasking, and reasoning about systems of sensors in which data must be fused and queried from a variety of sensor types within a myriad of environments.},
author = {Russomanno, D J and Kothari, C and Thomas, O},
booktitle = {Proceedings of the Thirty-Seventh Southeastern Symposium on System Theory, 2005. SSST '05.},
doi = {10.1109/SSST.2005.1460887},
isbn = {0-7803-8808-9},
keywords = {ontology,sensor,upper\_ontology},
mendeley-tags = {ontology,sensor,upper\_ontology},
pages = {107--112},
publisher = {IEEE},
title = {{Sensor ontologies: from shallow to deep models}},
url = {http://ieeexplore.ieee.org/xpl/freeabs\_all.jsp?arnumber=1460887},
year = {2005}
}

This paper presents a practical approach to developing comprehensive sensor ontologies based upon deep knowledge models rather than capturing only superficial sensor attributes. It is proposed that the representation and utilization of deep sensor ontologies would enable a variety of sensor information system applications including sensor parts compatibility determination, dynamic sensor selection and tasking, and reasoning about systems of sensors in which data must be fused and queried from a variety of sensor types within a myriad of environments.

@inproceedings{Russomanno2005a,
author = {Russomanno, D J and Kothari, C and Thomas, O},
booktitle = {The 2005 International Conference on Artificial Intelligence (IC-AI 2005)},
keywords = {OGC\_standards,ontology,sensor},
mendeley-tags = {OGC\_standards,ontology,sensor},
pages = {637--643},
publisher = {CSREA Press},
title = {{Building a sensor ontology: A practical approach leveraging ISO and OGC models}},
url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.68.5229},
year = {2005}
}

@inproceedings{Avancha2004a,
author = {Avancha, S and Patel, C},
booktitle = {The First Annual International Conference on Mobile and Ubiquitous Systems Networking and Services 2004 MOBIQUITOUS 2004},
doi = {10.1109/MOBIQ.2004.1331726},
isbn = {0769522084},
keywords = {ontology,sensor\_network},
mendeley-tags = {ontology,sensor\_network},
pages = {194--202},
publisher = {IEEE},
title = {{Ontology-driven adaptive sensor networks}},
url = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1331726},
year = {2004}
}