Linked Sensor Data: RESTfully serving RDF and GML.
Page, K.; Roure, D. D.; Martinez, K.; Sadler, J.; and Kit, O.
In Taylor, K.; Ayyagari, A.; and Roure, D. D., editor(s),
Proceedings of the 2nd International Workshop on Semantic Sensor Networks (SSN09) at ISWC 2009, volume 522, pages 49–63, Washington DC, USA, November 2009. CEUR Workshop Proceedings, CEUR-WS.org
Paper
link
bibtex
@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}
}
Linked Stream Data: A Position Paper.
Sequeda, J.; and Corcho, O.
In Taylor, K.; Ayyagari, A.; and Roure, D. D., editor(s),
Proceedings of the 2nd International Workshop on Semantic Sensor Networks (SSN09) at ISWC 2009, volume 522, pages 148–157, Washington DC, USA, November 2009. CEUR Workshop Proceedings, CEUR-WS.org
Paper
link
bibtex
@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}
}
Semantic annotation and reasoning for sensor data.
Wei, W.; and Barnaghi, P.
In
EuroSSC'09: Proceedings of the 4th European conference on Smart sensing and context, pages 66–76, Berlin, Heidelberg, 2009. Springer-Verlag
Paper
link
bibtex
abstract
@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.