On building a diabetes centric knowledge base via mining the web.
BMC Med. Inf. & Decision Making(2019)
摘要
In this paper, we introduced an approach to constructing DKB. A knowledge extraction and fusion pipeline was first used to extract semi-structured data from vertical portals and individual KBs were further fused into a unified knowledge base. After that, we develop a distance based Expectation Maximization algorithm to extract a subset from the overall knowledge base forming the target DKB. Experiments showed that the data in DKB are rich and of high-quality.
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关键词
Diabetes-centric KB,Knowledge extraction,Knowledge fusion
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