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基于形式本体的POI数据分类方法 被引量:6

Classification Method of POI Data Based on Formal Ontology Theory
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摘要 针对现有地理信息分类体系的不足,基于形式本体的原理,结合语义学理论,以深圳市的POI数据为实验数据,通过采用对POI数据形式化语义分析的方法,利用概念的本体属性组来规范表达POI概念的语义,提出一套新的分类体系。分类结果有效地解决了传统分类体系中存在的语义和概念上的异构问题,并成功应用于深圳市公共信息服务平台,从新的视角为其他城市的POI信息分类以及其他类型的地理信息分类提供参考方法。 Setting out from the insufficiency of the existing geographic information classification system,under the principle of formal ontology theory that combined the semantics theory,this paper standardizes the semantic concept of POI through formalized concept analysis of POI data and puts forward a new classification system on the basis of the POI data of Shenzhen as the experimental data.The new classification system solves effectively the problems in current traditional one such as heterogeneous build of semantics and concept,which has been successfully applied to the platform of Shenzhen Geographic Information Public Service.The paper can provide reference for the classification of POI information and other geographic information classification of other cities.
出处 《地理与地理信息科学》 CSCD 北大核心 2014年第6期13-16,共4页 Geography and Geo-Information Science
基金 国家自然科学基金项目(4127145 5/D0108)
关键词 POI 本体集成 分类 深圳市 住宿业 POI ontology integration classification Shenzhen City lodging industry
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  • 1於新国,苏博文.城市公众地图服务系统兴趣点数据采集与处理[J].测绘与空间地理信息,2013,36(3):75-76. 被引量:2
  • 2黄茂军,杜清运,吴运超,李凤丹.地理本体及其应用初探[J].地理与地理信息科学,2004,20(4):1-5. 被引量:28
  • 3陈建军,周成虎,王敬贵.地理本体的研究进展与分析[J].地学前缘,2006,13(3):81-90. 被引量:64
  • 4李霖,王红.基于形式化本体的基础地理信息分类[J].武汉大学学报(信息科学版),2006,31(6):523-526. 被引量:23
  • 5GRUBER T R. A Transation Approach to Portable Ontologies Specification[ J]. Knowledge Acquisition, 1993, 5 (2) : 199-221.
  • 6BORST P, AKKERMANS H. Engineering Ontologies [ J ]. International Journal of Human-Computer Studies, 1997, 46:365-406.
  • 7STUDER R, BENJAMINS V R, FENSEL D. Knowledge Engineering, Principles and Methods [ J ]. Data and Knowledge Engineering, 1998,25 (122) : 161-197.
  • 8GUARINO N. Semantic Matching: Formal Ontological Distinctions for Information Organization, Extration and Integration [ C ] //Information Extraction: a Multidisciplinary Approach to an Emerging Information Technology. Frascati: Springer Varlag, 1997.
  • 9PEREZ A G, BENJAMINS V R. Overview of Knowledge Sharing and Reuse Components: Ontologies and Problem-Solving Methods [ C ] // Proceedings of the IJCAI-99 Workshop on Ontologies and ProblemSolving Methods (KRRS). Stockholm: [s. n. ], 1999:1-15.
  • 10FREDERICO T, EGENHOFER M. Ontology-driven Geographic Information Systems [ C ]//7th ACM Symposium on Advances in Geographic Information Systems. Kansas City: [s. n. ] ,1999: 14-19.

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