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More and more electric power data are generated with the development of the electric power field. Hyponymy relationships extraction is an important task in building semantic knowledge base, information retrieval and other semantic applications etc. This paper uses sentences to match “is a” pattern as research subjects and proposes a novel hyponymy relation extraction approach, which combines lexical...
The traditional duplicate bug reports detection approaches are usually based on vector space model. However, the experimental result is rarely satisfying since this method cannot distinguish semantic correlation among bug reports which written by natural languages. Topic model, as a method to model underlying topics of texts, can solve the problem of document similarity calculation methods used in...
The Contract Search Tool is a semantic search platform that enables effective analysis of complex, long-term contractual service agreement for machines such as gas turbines. The approach we developed can effectively identify paragraphs of text for specific legal concepts. Then the key content can be decomposed and organized by the semantics model that captures key elements of the concepts and links...
The feature interaction problem was originally considered in the telecommunications domain and expanding to software engineering which occurs when the composition of features leads to undesirable system behaviors. In this paper we explore a semantic web based method to model features in requirements phase and detect interactions among features via semantic web rule language. The specifications of...
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