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Enriching Domain Ontology from Domain-Specific Documents with HowNet

机译:从带有Hownet的特定于域的文件中丰富域本体

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Constructing domain ontology by hand is still a hard and time-consuming job. So, developing methods and techniques to acquire ontology from a large amount of documents in a semi-automatic manner is indispensable. In this paper, we present a technique of how to enrich existing ontology from domain-specific documents with online knowledge system like HowNet. HowNet is a bilingual general knowledge base that encodes inter-concept semantic relations and the inter-attribute semantic relations that can provide a hint to enrich existing ontology. We present the enrichment algorithms in detail. The preliminary experiment in physical education domain is taken and useful conclusions is made and presented through the paper.
机译:手工构建域本体论仍然是一个艰难而耗时的工作。 因此,开发以半自动方式从大量文件获取本体的方法和技术是必不可少的。 在本文中,我们介绍了如何通过像Hownet这样的在线知识系统中丰富现有本体文体的技术。 Hownet是一种双语的一般知识库,可以编码概念的语义关系和属性间语义关系,可以提示丰富现有本体。 我们详细介绍了丰富算法。 采取了体育领域的初步实验,并通过本文进行了有用的结论。

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