The Community for Technology Leaders
RSS Icon
Issue No.01 - January/February (2009 vol.24)
pp: 25-26
Deborah L. McGuinness , Rensselaer Polytechnic Institute
Peter Fox , Rensselaer Polytechnic Institute
Boyan Brodaric , Geological Survey of Canada
Elisa Kendall , Sandpiper Software
Interest in and requirements for the next generation of information technology for science are expanding. e-Science 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 and knowledge within and among 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 commensurate growth in semantic technologies. We seek to explore the general space of semantic e-Science while focusing on the support and potential for deep data and knowledge integration.
e-Science, Semantic Web, ontologies, knowledge-enhanced scientific data retrieval, semantic scientific knowledge integration
Deborah L. McGuinness, Peter Fox, Boyan Brodaric, Elisa Kendall, "The Emerging Field of Semantic Scientific Knowledge Integration", IEEE Intelligent Systems, vol.24, no. 1, pp. 25-26, January/February 2009, doi:10.1109/MIS.2009.19
1. D. Baker et al., "Informatics and the 2007–2008 Electronic Geophysical Year," Eos, vol. 89, no. 48, 2008, pp. 485–487.
2. R. Dalton,"Geophysicists Combine Forces," Nature, vol. 47, no. 1037, 2007; doi:10.1038/4471037a.
3. D. McGuinness, P. Fox, and B. Brodaric, Semantic Scientific Knowledge Integration: Papers from the AAAI 2008 Spring Symposium, tech. report SS-08-05, AAAI, 2008.
19 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool