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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,China;Geophysical Survey Team of Henan Coal Geology Bureau,Zhengzhou Henan 450000,China)
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:《北京测绘》2019年第12期1566-1570,共5页Beijing Surveying and Mapping
摘 要:随着信息技术的飞速发展,网络信息日益丰富,尤其是地理信息,随之而来的地理信息检索技术逐渐成为地理信息科学领域的重要研究课题。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,因此当人们出门在外需要检索地理信息时,为了从返回的查询结果中搜索到有用的信息,常常要耗费大量的时间。然而,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,来发掘概念、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,这无论对地理信息检索的效率还是准确率来言,都是极大的突破。本文以交通领域本体为例,并采用Protégé本体构建工具实现交通本体的构建。With the rapid development of information technology,the web information become increasingly rich especially for geographic information,and consequently the geographic information retrieval technologies are becoming important research tasks in information field.The returned results from traditional keyword-based information retrieval technology which mainly depends on syntax matching often have a lot of information redundancy.So when people are away from home and need to retrieve traffic information,he or she must spend more time on searching for useful information from the returned query results.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.Realizing semantic intelligent information retrieval would be a great breakthrough in terms of whether the efficiency or the accurancy of information retrieval.This article taken traffic field knowledge as case and choosed protégéwhich relys as tool to build the traffic field ontology with properties and instances.
分 类 号:P208[天文地球—地图制图学与地理信息工程]
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