Question answering based on pervasive agent ontology and Semantic Web
Question answering based on pervasive agent ontology and Semantic Web
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DOI：
10.1016/j.knosys.2009.06.003
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发表时间：
2009-08
期刊：
影响因子：
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通讯作者：
Qing-lin Guo;Ming Zhang
中科院分区：
文献类型：
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作者：
Qing-lin Guo;Ming Zhang
语义Web技术为基于知识的问答系统带来了新的优势。特别是，本体正在成为关键的方法来表示特定领域的概念知识，以提高问答系统的语义能力。在本文中，我们提出了一个问答系统中的领域知识表示的本体。此外，该系统还通过普适Agent本体对用户模型进行建模，实现个性化服务，并主要通过自然语言解析器实现了中文自然语言人机接口。初步评价结果表明，基于普适Agent本体构建语义问答系统是可行的，个性化语义问答的有效性，普适Agent本体和知识库的可扩展性，以及基于普适Agent本体中语义关系的知识自生成的可能性。
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.