摘要
语义网的研究中,基于领域本体的构建研究方法基本上还处于手工阶段,如何在本体的设计中实现自动构建仍然是目前需要解决的问题,而采用基于图的构建原理,应用MCL聚类的本体自动构建算法进行概念提取和关系运算。将领域文本文档映射为文档概念图,在关系运算中采用基于频繁信息子图的g Span算法的任意关系提取算法,得到基于OWL-DL描述的领域本体,并通过评价反馈机制进行闭环校正是研究的核心思想。
In the research on semantic Web,the construction method based on domain ontology is still basically in the manual stage. In the design of ontology,howto realize the automatic construction is still a problem needs to solve. But use the construction principle based on diagram,and apply the algorithm of M CL clustering for automatic ontology construction to extract concept and operate relation. M apping the domain text document to document concept map,and in the relational operations,using the arbitrary relations extraction algorithm based on frequent information sub graphs of g Span algorithm to obtain the domain ontology based on OWL- DL description,and through the evaluation and feedback mechanism to carry out the closed- loop correction is the core idea.
出处
《计算机技术与发展》
2014年第12期64-68,共5页
Computer Technology and Development
基金
国家开放大学项目(Q0604F-Q)
辽宁省现代远程教育学会项目(2012xh1-25
2013XH01-23)
关键词
领域本体
自动构建
知识管理
gSpan算法
domain ontology
automatic construction
knowledge management
g Span algorithm