CS AKTive Space or how we stopped worrying and learned to love the Semantic Web. Shadbolt, N. R., Gibbins, N., Glaser, H., Harris, S., & schraefel IEEE Intelligent Systems, 19(3):41--47, 2004.
CS AKTive Space or how we stopped worrying and learned to love the Semantic Web [link]Paper  abstract   bibtex   
The mission of the Advanced Knowledge Technologies (AKT) project is to investigate how to operationalize the knowledge management mantra of "getting the right content to the right place at the right time and in the right form." A significant result of the first three years of this six year project is CS AKTive Space (CAS), a Semantic Web application that won the 2003 Semantic Web Challenge. The challenge criteria included having to use geographically distributed, real world data that would have to be used in a context distinct from which that original data had been designed to serve. CAS is an application that, in meeting this criteria, seeks to provide the experience of an integrated information overview that allows a user to determine quickly who is doing what where in computer science research in the UK. In developing the application we have engaged a number of core Semantic Web challenges: content acquisition, ontology development to mediate heterogeneous data sources, scalable RDF storage and query facilities, and semantically directed interaction design. From our work on CAS we have begun to look at how the approaches for CAS can be generalized for the deployment of AKTive Space applications, dynamically generated from an ontology and set of services.
@article{ ecs8817,
  author    = {Nigel R. Shadbolt and Nicholas Gibbins and Hugh Glaser and Stephen Harris and  schraefel},
  title     = {CS AKTive Space or how we stopped worrying and learned to love the Semantic Web},
  journal   = {IEEE Intelligent Systems}, 
  abstract   = {The mission of the Advanced Knowledge Technologies (AKT) project is to investigate how to operationalize the knowledge management mantra of "getting the right content to the right place at the right time and in the right form." A significant result of the first three years of this six year project is CS AKTive Space (CAS), a Semantic Web application that won the 2003 Semantic Web Challenge. The challenge criteria included having to use geographically distributed, real world data that would have to be used in a context distinct from which that original data had been designed to serve. CAS is an application that, in meeting this criteria, seeks to provide the experience of an integrated information overview that allows a user to determine quickly who is doing what where in computer science research in the UK. In developing the application we have engaged a number of core Semantic Web challenges: content acquisition, ontology development to mediate heterogeneous data sources, scalable RDF storage and query facilities, and semantically directed interaction design. From our work on CAS we have begun to look at how the approaches for CAS can be generalized for the deployment of AKTive Space applications, dynamically generated from an ontology and set of services.},
  booktitle   = {International Semantic Web Conference},
  pages   = {41--47},
  volume   = {19},
  number   = {3},
  url   = {http://eprints.ecs.soton.ac.uk/8817/} ,
  year   = {2004}
}

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