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作 者:马苗苗 陈春辉[2] MA Miaomiao;CHEN Chunhui(Henan College of Surveying and Mapping,Zhengzhou Henan 450000;Geophysical Survey Team of Henan Coal Geology Bureau,Zhengzhou Henan 450000)
机构地区:[1]河南测绘职业学院,河南郑州450000 [2]河南省煤田地质局物探测量队,河南郑州450000
出 处:《河南科技》2020年第13期102-104,共3页Henan Science and Technology
摘 要:传统的基于关键字语法匹配的信息检索技术,查询返回的结果往往存在很大的信息冗余。而引入基于本体(Ontology)的语义检索技术,通过定义明确的领域概念、属性和实例来建立领域本体及其推理机制,发掘概念、实例之间隐含的信息,从而实现基于语义的智能地理信息检索。本文以交通领域本体为例,在使用Protégé建好交通本体之后,基于Jena推理机和SWRL推理规则语言,自定义了一些基本的本体推理规则,并设计了一套面向具体应用的本体推理机制,以解决实际的应用问题。The returned results from traditional keyword-based information retrieval technology which mainly depends on syntax matching often have a lot of information redundancy.However,ontology-based semantic search technology can achieve the goal of semantic intelligent information retrieval through building ontology with well-defined concepts,attributes and instances and constructing ontology-based reasoning mechanism by which we can explore the implicit information of concepts and instances.In this paper,taking traffic domain ontology as an example,after using Protégéto build traffic ontology,based on Jena reasoning machine and SWRL reasoning rule language,some basic ontology reasoning rules were defined,and a set of ontology reasoning mechanism for specific application was designed to solve practical application problems.
分 类 号:U495[交通运输工程—交通运输规划与管理] TP391.1[交通运输工程—道路与铁道工程]
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