Question answering based on pervasive agent ontology and Semantic Web
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摘要
Semantic Web technologies bring new benefits to knowledge-based question answering system. Especially, ontology is becoming the pivotal methodology to represent domain-specific conceptual knowledge in order to promote the semantic capability of a QA system. In this paper we present a QA system in which the domain knowledge is represented by means of ontology. In addition, personalized services are enabled through modeling users’ profiles in the form of pervasive agent ontology, and a Chinese Natural Language human–machine interface is implemented mainly through a NL parser in this system. An initial evaluation result shows the feasibility to build such a semantic QA system based on pervasive agent ontology, the effectivity of personalized semantic QA, the extensibility of pervasive agent ontology and knowledge base, and the possibility of self-produced knowledge-based on semantic relations in the pervasive agent ontology.
论文关键词:WWW,Pervasive agent ontology,Semantic Web,Question answering
论文评审过程:Received 15 March 2008, Accepted 4 June 2009, Available online 10 June 2009.
论文官网地址:https://doi.org/10.1016/j.knosys.2009.06.003