文章基本信息

标题：An Optimization for Hybrid Semantic Similarity Computation
本地全文：下载
作者：Zhixiao Wang ; Xiaofang Ding ; Ying Huang 等
期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2015
卷号：8
期号：10
页码：205-216
DOI：10.14257/ijhit.2015.8.10.19
出版社：SERSC
摘要：Semantic similarity computation is of great importance in many applications such as natural language processing, knowledge acquisition and information retrieval. In recent years, many concept similarity measures have been developed for ontology and lexical taxonomy. Generally speaking, ontology concepts semantic similarity computation is tedious and time-consuming. This paper puts forward an optimization algorithm to simplify semantic similarity computation. The optimization algorithm utilizes hierarchical relationship between concepts to simplify similarity computation process. Simulation experiments showed the optimization algorithm could make similarity computation simple and convenient, and similarity computation speed was improved by one time. The more complexity an ontology structure, and the bigger the maximum depth of ontology, the more significantly the performance improved.
关键词：Ontology; Semantic Similarity; Concepts Hierarchical Relationship; ; Optimization Algorithm