领域本体自动构建研究  

Automatic Domain Ontology Construction

作　　者：王磊[1] 周宽久[1,2] 仇鹏[1] 

机构地区：[1]大连理工大学系统工程研究所,大连116024 [2]大连理工大学软件学院,大连116620

出　　处：《情报学报》2010年第1期45-52,共8页Journal of the China Society for Scientific and Technical Information

摘　　要：本体作为语义基础被广泛应用于信息检索、人工智能、语义网络和知识管理等领域。然而本体的构建和维护工作费时费力，影响了本体的广泛应用。因此，研究者们尝试利用机器学习、数据挖掘等技术自动构建本体，提出诸多本体自动构建的理论和方法。本文在总结现存本体自动构建方法的同时深入研究了基于FCA（Formal Concept Analysis）的本体自动构建方法，主要包括：基于PAT-Tree的统计分词，文档特征选择，基于文档一关键词的形式背景生成，最后用FCA构建本体。实验表明，基于FCA的本体构建方法明显提高了本体自动化的程度，卡句建的本体具有较好的可信度。As a semantic foundation of concepts in a domain, ontology has been widely applied to information retrieval, artificial intelligence, knowledge network, knowledge management etc. However, ontology construction is a time-consuming and tedious task, so automatic or semi-automatic methods have been proposed by some researchers. In this paper, the current research states and progresses of automatic ontology construction technologies are summarized and some FCA based methods are deeply analyzed in three steps： PAT-Tree based phrase extraction ; feature selection; formal context acquirement and FCA based ontology construction. Some experiments results show that FCA based method can greatly improve automatic construction of ontology and the constructed ontology by this model is readable and reliable.

关 键 词：本体 PAT-TREE FCA 本体自动构建 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] G354.4[自动化与计算机技术—控制科学与工程]