文章基本信息

标题：Assessing Text Semantic Similarity Using Ontology
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作者：Liu, Hongzhe ; Wang, Pengfei
期刊名称：Journal of Software
印刷版ISSN：1796-217X
出版年度：2014
卷号：9
期号：2
页码：490-497
DOI：10.4304/jsw.9.2.490-497
语种：English
出版社：Academy Publisher
摘要：Sentence and document similarity assessment is key to most NLP applications. This paper presents a novel measure of calculating the similarity between sentences or between documents using ontology. The similarity is assessed using sentence or document concept vector forming from finding the linkage between ontology terms and sentence or document content, the linage can be used to generate semantic indexes of sentences or document and apply them to implement highly efficient searching algorithms to compute sentence or document similarity, and the difference between the sentence and document similarity measurement is articulated. Results were verified through experiments. Experiments show that this technique is efficient and compares favorably to other similarity measures, and it is flexible enough to allow the user to make comparisons without any additional dictionary or corpus information. We believe that this method can be applied in a variety of text knowledge representation and discovery applications.
关键词：Sentence similarity;document similarity;WordNet;word similarity;ontology