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领域本体中概念间语义相关度的概率估计

田萱 李冬梅

计算机工程与应用2011,Vol.47Issue(27):136-140,143,6.
计算机工程与应用2011,Vol.47Issue(27):136-140,143,6.DOI:10.3778/j.issn.1002-8331.2011.27.037

领域本体中概念间语义相关度的概率估计

Probability estimation for semantic association on domain ontology

田萱 1李冬梅1

作者信息

  • 1. 北京林业大学信息学院,北京100083
  • 折叠

摘要

Abstract

A probability model based on Bayesian principles is given to measure the semantic association from a concept to its direct-related concept in domain ontology.The model is based on different semantic relationships,and is estimated according to maximum likelihood estimation. Semantic distance is used to estimate semantic relationships in estimating period.Based on the proposed model,a method to measure semantic association of any two concepts in ontology is given.Experiment results of semantic retrieval on open data show that semantic query expansion performs better than classic semantic query expansion.

关键词

领域本体/语义关系/语义相关度/语义距离/概率估计

Key words

domain ontology/ semantic relationship/ semantic associative degree/ semantic distance probability estimation

分类

信息技术与安全科学

引用本文复制引用

田萱,李冬梅..领域本体中概念间语义相关度的概率估计[J].计算机工程与应用,2011,47(27):136-140,143,6.

基金项目

中央高校基本科研业务费专项资金(No.YX2011-30) (No.YX2011-30)

北京林业大学新进教师科研启动基金(No.BLX2w8019). (No.BLX2w8019)

计算机工程与应用

OACSCDCSTPCD

1002-8331

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