Semantic Scientific Knowledge Integration

Deborah L. McGuinness, Peter Fox, Boyan Brodaric

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.

Subjects: 1.6 Engineering And Science; 11. Knowledge Representation

Submitted: Jan 29, 2008


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