基于知识点本体的语义扩展研究  

Semantic Expansion Research Based on Knowledge Topic Ontology

作　　者：崔春华[1] 李华[1] 

机构地区：[1]重庆大学计算机学院,重庆400044

出　　处：《世界科技研究与发展》2013年第3期380-383,共4页World Sci-Tech R&D

基　　金：国家自然科学基金(71102065);国家社会科基金"十一五"规划教育学2007年度国家重点课题(ACA070);重庆大学承担子课题八(ACA0704-08)资助

摘　　要：传统的基于关键字的信息检索不能很好地检索到相关的资源。通过分析教学领域知识点本体的语义相关性特点,提出了一种基于知识点本体的语义扩展算法。该算法通过将概念间关系进行分离,利用概念层次结构和关联关系并考虑多种影响因素分别计算语义相似度和相关度,进而综合量化成语义关联度进行语义扩展检索。实验表明,本文所提出的语义扩展算法能够有效地提高查全率、查准率,取得较好的检索效果。The traditional keyword-based information retrieval can not effectively get relevant resources. Through analyzing the semantic corre- lation characteristics of the knowledge topic ontology, an semantic expansion algorithm is proposed base on knowledge topic ontology. The hi- erarchical Structure of concepts and relations are proposed. Various factors are considered to respectively calculate semantic similarity and se- mantic relativity through separating the relationship between concepts. Then they were integrated into the semantics correlation to search. The experimental result shows that the algorithm can effectively improve semantic similarity and semantic relativity and obtain better retrieval re- suits.

关 键 词：知识点本体 语义相似度 语义相关度 语义扩展 信息检索 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术]