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Query Answering Using Ontologies in Agent-based Resource Sharing Environment for Biological Web Information Integrating
2003
International Joint Conference on Artificial Intelligence
A variety of biological data is transferred and exchanged in overwhelming volumes on the World Wide Web. How to rapidly capture, utilize and integrate hundreds of biological databases on the Web is one of the most critical issues in bioinformatics. In this paper, we describe our preliminary study to address this issue in an agent-based resource-sharing environment, where we apply the Web agent technology and DAML+OIL ontologies of biological knowledge to enable biologists to make
dblp:conf/ijcai/LuH03
fatcat:jpekbid44fgopdd2o5e3d27cg4