基于本体的多专业领域知识语义检索系统研究  

Research in semantic retrieval system for knowledge of multiple majors domain based on ontology

作　　者：刘紫玉[1] 杨国霞[2] 李学会[2] 

机构地区：[1]河北科技大学经济管理学院,河北石家庄050018 [2]河北科技大学信息科学与工程学院,河北石家庄050018

出　　处：《河北科技大学学报》2011年第5期471-476,共6页Journal of Hebei University of Science and Technology

基　　金：河北省科技支撑计划项目(11213504D);河北省教育厅科学技术研究项目(Z2011275);河北科技大学博士科研基金资助项目(QD201017)

摘　　要：多专业领域是指由多个专业构成的学科领域,如高速铁路领域由工务工程、牵引供电、动车组、运营管理等专业领域构成。对于多专业领域本体的构建,可以先构建各个专业领域本体,然后根据专业领域之间的关系进行本体集成。面向多专业领域,在本体模型的基础上提出了多专业领域本体模型,并给出了多专业领域本体概念语义相似度计算模型,此模型可作为语义扩展的基础。在此基础上,设计了一个基于本体的多专业领域知识语义检索系统,并以高速铁路领域为背景对提出的语义检索系统进行实验验证,从测试结果来看,开发的语义检索系统可以获取较高的准确率和召回率。In this paper a domain including different major fields is called multiple majors domain.For example,the high-speed railway domain consists of maintenance engineering,traction power supply,EMU and operation management,etc.Ontologies of the major fields are built based on thesaurus and thematic words,and these ontologies are integreted into a unified ontology for the multiple majors domain.Oriented to the domain that consisting of several major fields,this paper gives the ontology model for multiple majors domain,and also builds the model to compute semantic similarity between concepts for multiple major domain.Then,this paper puts out a semantic retrieval system for the knowledge of multiple major domain based on ontology and verifies it.The experimental results show that the developed semantic retrieval system can reach satisfying recall and precision.

关 键 词：本体 多专业领域 语义检索 高速铁路领域 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]