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Semantic scientific knowledge integration
Abstract Interest in and requirements for the next Interest in and requirements for the next generation of information technology for science are expanding. eScience has become a growing subject of discussion covering topics such as grid computing for science as well as knowledge-enhanced scientific data retrieval. The demand for deep integration of scientific data within and between disciplines is also growing, as larger and broader science questions are becoming more common. Concurrent with the growing demand for next generation information technology for science is a growth in semantic technologies. We seek to explore the general space of semantic eScience while focusing on the support and potential for deep data and knowledge integration. l for deep data and knowledge integration.
Address Stanford, CA. +
Author Deborah L. McGuinness +, Peter Fox +, Boyan Brodaric +
Bibtype inproceedings  +
Booktitle Proceedings of the Association for Advancement of Artificial Intelligence Spring Symposium Series Workshop on Semantic Scientific Knowledge Integration  +
Key mcguinness2008semantic  +
Modification dateThis property is a special property in this wiki. 1 May 2009 16:13:46  +
Month March +
Paper url http://www.aaai.org/Papers/Symposia/Spring/2008/SS-08-05/SS08-05-001.pdf  +
Relation Inference web +
Tag Computer science +
Title Semantic Scientific Knowledge Integration  +
Year 2008  +
Categories Workshop Paper, Proceeding Paper, Publication
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