摘要
作为语义网基础的本体是共享概念模型的明确的形式化规范说明,它提供一种让计算机可以交换、搜寻和认同文字信息的方式。有效地构建、展现本体成为应用本体的关键问题,然而,现有构建本体的各种方法都在不同方面存在着限制。经过分析比较,本文采用形式概念分析理论构造本体阶层来弥补缺陷,并结合机率模式展现本体,用于表达概念之间及概念、资料间的相关性,利用文件与概念的相关性排序结果,以便于用户找到最相关的信息,从而有效地提高了信息查找的效率。本文通过实例来演示本体的构造与表达。
As the foundation of the semantic web, ontology is a formal, explicit specification of a shared conceptual model and provides a way for computers to exchange, search and identify characteristics. It becomes an important problem on ontology application to build and present ontology. However, there are some defects between several kinds of existing ontology construction methods in many aspects. After analyzing and comparing, this paper makes up these defects by applying formal concept analysis theory to construct concept hierarchies of ontology, and expresses the relevancy of concepts and documents in combination with probabilistic model for ontology presentation. Users can easily search for the most relevant information using the order of the related documents and concepts, so that search efficiency is improved. A case is given to demonstrate how to construct and present ontologies.
出处
《计算机科学》
CSCD
北大核心
2007年第2期171-174,共4页
Computer Science
基金
国家自然科学基金项目(60575035)支持
关键词
本体
概念格
形式概念分析
相关性
Ontology, Formal concept analysis, Concept lattice, Relevancy
