The Virtual Solar-Terrestrial Observatory: A Deployed Semantic Web Application Case Study for Scientific Research

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Citation: Deborah L. McGuinness and Peter Fox and Luca Cinquini and Patrick West and José M. García and James L. Benedict and Don Middleton. (2007) The Virtual Solar-Terrestrial Observatory: A Deployed Semantic Web Application Case Study for Scientific Research. In Proceedings of the Nineteenth Conference on Innovative Applications of Artificial Intelligence (IAAI-07), July,2007.

Publication inproceedings ( Edit )
type InProceedings
bibtype inproceedings
Bibtex basics
author Deborah L. McGuinness and Peter Fox and Luca Cinquini and Patrick West and José M. García and James L. Benedict and Don Middleton
title The Virtual Solar-Terrestrial Observatory: A Deployed Semantic Web Application Case Study for Scientific Research
booktitle Proceedings of the Nineteenth Conference on Innovative Applications of Artificial Intelligence (IAAI-07)
address Vancouver, British Columbia, Canada
year 2007
month July
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abstract The Virtual Solar-Terrestrial Observatory is a production semantic web data framework providing access to observational datasets from fields spanning upper atmospheric terrestrial physics to solar physics. The observatory allows virtual access to a highly distributed and heterogeneous set of data that appears as if all resources are organized, stored and retrieved/used in a common way. The end-user community comprises scientists, students, data providers numbering over 600 out of an estimated community of 800. We present details on the case study, our technological approach including the semantic web languages, tools and infrastructure deployed, benefits of AI technology to the application, and our present evaluation after the initial nine months of use.

KSL Technical Report ID: KSL-07-01
Facts about The Virtual Solar-Terrestrial Observatory: A Deployed Semantic Web Application Case Study for Scientific ResearchRDF feed
Abstract The Virtual Solar-Terrestrial Observatory The Virtual Solar-Terrestrial Observatory is a production semantic web data framework providing access to observational datasets from fields spanning upper atmospheric terrestrial physics to solar physics. The observatory allows virtual access to a highly distributed and heterogeneous set of data that appears as if all resources are organized, stored and retrieved/used in a common way. The end-user community comprises scientists, students, data providers numbering over 600 out of an estimated community of 800. We present details on the case study, our technological approach including the semantic web languages, tools and infrastructure deployed, benefits of AI technology to the application, and our present evaluation after the initial nine months of use. tion after the initial nine months of use.
Address Vancouver, British Columbia, Canada  +
Author Deborah L. McGuinness and Peter Fox and Luca Cinquini and Patrick West and José M. García and James L. Benedict and Don Middleton  +
Bibtype inproceedings  +
Booktitle Proceedings of the Nineteenth Conference on Innovative Applications of Artificial Intelligence (IAAI-07)  +
Has author Deborah L. McGuinness and Peter Fox and Luca Cinquini and Patrick West and José M. García and James L. Benedict and Don Middleton  +
Has identifier KSL-07-01  +
Has publishing details July,2007  +
Has title The Virtual Solar-Terrestrial Observatory: A Deployed Semantic Web Application Case Study for Scientific Research  +
Has where published Proceedings of the Nineteenth Conference on Innovative Applications of Artificial Intelligence (IAAI-07)  +
Has year 2007  +
Ksl tr id KSL-07-01  +
Month July  +
Process note NO  +
Title The Virtual Solar-Terrestrial Observatory: A Deployed Semantic Web Application Case Study for Scientific Research  +
Year 2007  +
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