Skip to Main Content
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.