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Proceedings Paper

A research on spatial information service based on geo-ontology
Author(s): Mengquan Wu; Zhoulong Wang; Anding Zhang; Xiangsheng Kong
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Paper Abstract

Geographic Information Services is the services for geographic information, including its geographic data services and geographic information systems information processing services. Geographic Information Services, its key is to realize the standardization of geographical information, as well as geographic information processing versatility, just not far from the conversion of geographic data to share information, only at a higher level of different applications and systems asked to cooperate with each other to achieve interoperability, in order to achieve the real purpose of geographic information services.A research on geo-ontology is the important content of Geographic Information Science and Digital Earth. The ontological foundation for Geographic Information Science is one of four new research fields that were proposed by UCGIS (University Consortium for Geographic Information Science) in 2000. In 2002 Research Agenda, the spatial ontology is the first topic of the ten Long-term Research Challenges. By the geo-spatial information semantic expression and semantic share based on ontology, the concepts of single community are expanded to more wide range gradually and are linked with Internet. Through the semantic description of service based on ontology, Web services can be automatic found out, composed, implemented and supervised. In this paper, based on the existing GIS database and having established geographic information field ontology, we will establish an application ontology database which is suitable for geographic data. Description Logic designating the corresponding rules knowledge, between the spatial database and ontology database, the difference ontology database building a definite correlation, the paper will propose a method on ontology-driven spatial data query. When inquiring a spatial entity, through the logic computation of ontology database, we can gain the query results, and return the final results. In the last, we will take tobacco planting query of digital tobacco as an example to test the method whether is feasible and effective.

Paper Details

Date Published: 16 October 2009
PDF: 8 pages
Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 74924E (16 October 2009); doi: 10.1117/12.838371
Show Author Affiliations
Mengquan Wu, Ludong Univ. (China)
Zhoulong Wang, Ludong Univ. (China)
Anding Zhang, Ludong Univ. (China)
Xiangsheng Kong, Ludong Univ. (China)


Published in SPIE Proceedings Vol. 7492:
International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining

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