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中文摘要：
基于维基百科的类别信息获取概念及概念关系，将提取的概念和关系映射到OWL语言以此构建计算机科学领域本体及其本体网络。在此基础上，利用社会网络分析法分析了文章构建的领域本体的网络结构信息。基于维基百科构建的本体网络有“较小的平均路径长度”“较小的聚类系数”“符合幂率分布”等特点，属于无标度网络。基于维基百科构建本体属于本体半自动构建的方法，抽取的概念关系不够丰富，但该方法能够为充分挖掘本体的语义信息，发现本体中的隐含知识，解决领域知识的共享等问题提供方法和参考。
英文摘要：
In this paper, we map the concepts and relationships extracted from classification information on Wikipedia to OWL language in order to build the domain ontology and ontology network of computer science. On this basis, the paper analyzes the network structure information of the domain ontology by social network analysis method. The ontology network constructed in this paper has the characteristics of ＂small average path length small clustering coefficient＂ and ＂consistent power distribution＂, which belong to the scale free network. The method of constructing ontology based on Wikipedia belongs to the semi-automatic construction method of ontology, in which the concept relationships are not rich enough, but this method provides references for fully mining the semantic information of ontology, finding the implicit knowledge in ontology, solving the problem of domain knowledge sharing and so on.
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