Journals Proceedings

Abstract

In recent years, the new data sources for chemical compounds, proteins, and genes have been widely spread. However, the sources are commonly isolated and cannot be connected each other. The relationships between the data sources and connections produce a semantic integration. The integration between chemical data resources and life science information provides a better chance to understand some aspect of small molecules in biological systems. In this paper, we review the existing researches on Resource Description Framework technologies in life sciences and propose to apply a big data framework to process big data for such technologies.