DocumentCode :
3047162
Title :
Ontology-driven Heterogeneous Geographic Data Set Integration
Author :
Wu, Meng-Quan ; Wang, Zhou-Long ; Zhang, An-Ding ; Yang, Hua
Author_Institution :
Coll. of Geogr. & Planning, Ludong Univ., Yantai, China
Volume :
4
fYear :
2009
fDate :
19-21 May 2009
Firstpage :
207
Lastpage :
211
Abstract :
Information integration has been an important area of research for many years, and the problem of integration of geographic data has recently emerged and is an important content of geography information science researches. The traditional spatial data integration mainly pays attention to transformation between data filespsila form, the vector and the grid data, the different scale and the automatic synthesis. The flaws of these integrated methods cannot effectively integrate the semantics of the different geography space data, thus has brought the information acquisition and the information understanding gap for integrated data sharing and the use. Ontology is an explicit specification of conceptualization. It may effectively integrate the geography space data and its semantics, and may overcome the flaw that the traditional space data integration method is unable to overcome. This article based on the ontology theory, the method and in the applied research around domestic and foreign geography information academic presented ontology-driven geographic data set integrationpsilas framework, and carried on the confirmation explanation by the concrete example.
Keywords :
geographic information systems; ontologies (artificial intelligence); geography information science; heterogeneous geographic data set integration; information acquisition; information integration; ontology; Application software; Data models; Databases; Educational institutions; Geographic Information Systems; Geography; Information science; Intelligent systems; Internet; Ontologies; Data Integration; Geographic data set; Ontology-driven; Semantic Heterogeneity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
Type :
conf
DOI :
10.1109/GCIS.2009.347
Filename :
5209305
Link To Document :
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