基于共现词网改造的领域本体自动构建模型研究  

Research on the Model of Auto-constructing the Domain Ontology Based on the Co-occurrence Word Net Transformation

作　　者：钟伟金[1] 

机构地区：[1]广东医学院图书馆,广东东莞523808

出　　处：《情报理论与实践》2014年第1期131-135,共5页Information Studies:Theory & Application

基　　金：教育部人文社会科学研究一般项目"共现词汇语义关系挖掘与本体自动构建研究"的成果;项目编号:10YJC870051

摘　　要：文章以学科文献为语料库,构建基于关键词、主题词、副主题词的大型共现词网,分别从同义词、层级关系、相关关系及知识推导四方面实现本体的改造过程。根据相关词标引原理,提炼出"同义相斥、相关相吸"的共现理论,进行同义异形关键词及对应主题词的识别;以《中国分类主题词表》作为工具,实现共现词网主题词的层级关系的标识;以副主题词的组配规则,实现主题词词性的及知识的推导。最终将共现词网改造成集自然语言(关键词)及控制语言(主题词)于一体的领域本体。Taking the disciplinary literatures as the corpus, this paper constructs a large-sized co-occurrence word net based on keywords, subject headings and sub-subject headings, and implements the ontology transformation process from the aspects of synonyms, hierarchical relations, correlationships and knowledge derivation separately. The paper firstly extracts the co-occurrence theory of ＂synonym mutually repelled, and correlation mutually attracted＂ according to indexing rules of correlated words to identify the abnormal synonymous keywords; then, takes the Chinese Classified Thesaurus as the tool to mark the hierarchical relations of the subject headings in the co-occurrence word net; and lastly uses the coordinate indexing rules of the sub-subject headings to de- rive the part of speech of subject headings and the knowledge. Finally, the paper transforms the co-occurrence word net into the do- main ontology combining the natural language （keywords） and the control language （subject headings） .

关 键 词：词共现 领域本体 关键词 自动构建 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]