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Projects such as Libra and Cimple have built systems to capture knowledge in a research community and to respond to semantic queries. However, they lack the support for a knowledge base that can evolve over time while responding to queries requiring reasoning. We consider a semantic web that covers linked data about science research that are being harvested from the Web and are supplemented and edited by community members. We use ontologies to incorporate semantics to detect conflicts anddoi:10.1145/2567948.2579033 dblp:conf/www/ShiMZ14 fatcat:ehmlxnmmybempdznl5biuqstmy