摘要
词语相似度研究,是知识表示以及信息检索领域中的一个重要内容。词语相似度的计算方法一般是利用大规模的语料库来统计。本体给词语间相似度计算带来了新的机会。利用本体结构上的ISA关系,提出了本体内部概念之间的相似度计算方法。实验结果表明,该方法能充分利用本体特点来计算相关概念之间的相似度。结合一个简单本体,介绍了如何计算概念间的相似度,及其在智能检索系统中的应用。
The research about word similarity is very important in knowledge representation and information retrieval. The method of measuring similarity in general is based on the statistic of large sample base. But the advent of ontology brings new chance to the research of similarity. The measure method of semantic similarity is proposed by taking advantage of the ISA relationship of concepts in ontology. It is shown by the experimental results that the method is efficient. By using a simple ontology, on how to measure the semantic similarity in ontology and its application in information retrieval is presented.
出处
《计算机工程与设计》
CSCD
北大核心
2007年第1期227-229,共3页
Computer Engineering and Design
基金
深圳市科技计划基金项目(200333)
关键词
相似度
本体
智能检索
语义距离
概念扩展
similarity
ontology
information retrieval
semantic distance
concept expansion
