知识表示是自然语言理解的重要基础.知识表示不统一、语义信息无法系统化利用是目前存在的亟待解决的问题.要解决这个问题,就要解决语义知识表示的问题.该文基于概念层次网络,描述了词语、句子和篇章层面的语义知识表示方法.基于文中描述的词汇层面的表示方法,构建了一个多语言本体知识库.该知识库的知识表示方法不仅可以为知识表示理论研究提供基础,还可以为自然语言处理相关领域的应用提供资源支持.%In the field of natural language processing (NLP),it is an important issue to be addressed at present that knowledge representation is not unified,and semantic information can not be used systematically.This paper pres-ents a multi-dimensional and unified semantic knowledge representation method covering words,sentences and dis-courses based on the theory of hierarchical betwork of concepts (HNC).With this method,we build a multi-lan-guage ontology based knowledge base (KB),which can provide theoretical reference for the semantic processing study of large-scale Chinese texts,and support for the construction of knowledge resources in specific domains.
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