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基于概念分类的多本体映射方法研究

吕刚 郑诚 胡春玲

计算机应用研究2011,Vol.28Issue(9):3335-3337,3.
计算机应用研究2011,Vol.28Issue(9):3335-3337,3.DOI:10.3969/j.issn.1001-3695.2011.09.037

基于概念分类的多本体映射方法研究

Research on method of multi-ontology mapping based on concept classification

吕刚 1郑诚 2胡春玲2

作者信息

  • 1. 合肥学院网络与智能信息处理重点实验室,合肥 230601
  • 2. 安徽大学计算智能与信号处理教育部重点实验室,舍肥 230039
  • 折叠

摘要

Abstract

To improve the efficiency of ontology mapping with large scale multi-ontology, this paper proposed a method of multi-ontology mapping based on concept classification ( MMBCC). It transformed the problem of large scale ontology partici pation into concept classification problems. Granular computing and semantic similarity computation based on WordNet were property of the classification trees, realized the process of concept classification by quick sort algorithm. Experiments show that the proposed method guarantees the accuracy while reducing the mapping number of comparisons of concept, reducing the complexity, and the method is feasible.

关键词

多本体映射/分类树/概念分类/粒度/语义相似度

Key words

multi-ontology mapping/ classification tree/ concept classification/ granularity/ semantic similarity

分类

计算机与自动化

引用本文复制引用

吕刚,郑诚,胡春玲..基于概念分类的多本体映射方法研究[J].计算机应用研究,2011,28(9):3335-3337,3.

基金项目

安徽省自然科学基金资助项目(11040606M133) (11040606M133)

安徽省高校省级优秀青年人才基金资助项目(2011SQRL134) (2011SQRL134)

安徽省高校省级自然科学研究资助项目(KJ2011 B137) (KJ2011 B137)

计算机应用研究

OA北大核心CSCDCSTPCD

1001-3695

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