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基于层次本体模型(HOM)的语义相似度计算方法
引用本文:黄宏斌,刘志忠,张维明,邓苏,马丽丽.基于层次本体模型(HOM)的语义相似度计算方法[J].系统工程与电子技术,2009,31(7):1750-1754.
作者姓名:黄宏斌  刘志忠  张维明  邓苏  马丽丽
作者单位:1. 国防科技大学信息系统与管理学院, 湖南, 长沙, 410073;2. 国防科技大学计算机学院, 湖南, 长沙, 410073
摘    要:本体映射通过计算实体之间的局部的或/和全局的语义相似度来确定实体之间的关系。除了实体之间的局部或/和全局的关系外,在很多情况下整个本体之间的关系对于计算语义相似度也是很有帮助的。本文试图利用这些关系来计算实体之间的相似度以改进本体映射的性能。为此,本文以范畴论为基础提出了一个层次化的本体模型(hierarchical ontology model,HOM)用以形式化描述这种关系。在此基础上,还提出了一种本体映射算法HOM-Matching,该算法利用本体之间的关系来计算实体之间的语义相似度。两组实验表明:通过设定合适的参数,该算法可以较好地提高本体映射的性能。

关 键 词:本体  层次本体模型  本体映射  语义相似度
收稿时间:2008-04-01

Research on calculating semantic similarity based on HOM
HUANG Hong-bin,LIU Zhi-zhong,ZHANG Wei-ming,DENG Su,MA Li-li.Research on calculating semantic similarity based on HOM[J].System Engineering and Electronics,2009,31(7):1750-1754.
Authors:HUANG Hong-bin  LIU Zhi-zhong  ZHANG Wei-ming  DENG Su  MA Li-li
Institution:1. Coll. of Information System and Management, National Univ. of Defense and Technology, Changsha 410073, China;2. Coll. of Computer Science, National Univ. of Defense and Technology, Changsha 410073, China
Abstract:Ontology alignment establishes the relation between entities by computing their semantic similarities using the local or/and global context of entities.Besides the local and global context of entities,the relations between two ontologies are helpful for computing their semantic similarity in many situations.The aim of this article is to improve the performance of ontology alignment by using these relations in similarity computing.A hierarchical ontology model(HOM) which is based on category theory and describes these relations formally is proposed followed by HOM-matching,an algorithm based on HOM.It makes use of the relations between ontologies to compute semantic similarity.Two groups of experiments are conducted for algorithm validation and parameters optimization.
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