Automatic Resolution of Semantic Heterogeneity in GIS: An Ontology Based Approach

Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 27)


To facilitate the access of geographic information, spatial data infrastructures (SDI) are being set up within regions, countries and internationally. Consequently, the interoperable access of the information across disparate geospatial databases has become essential. Semantic heterogeneity is one of the crucial issues to get resolved for efficient and accurate retrieval of spatial data. This work has adopted an ontology based approach to overcome the semantic heterogeneities, usually exists in different heterogeneous data repositories. The proposed method is used for semantic matching between user query concepts and the target concepts in the spatial databases. It overcomes the problem of manual intervention during matching process; hence making it automated.


Geographic Information System Semantic heterogeneity Ontology WordNet 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.School of Information TechnologyIndian Institute of Technology KharagpurKharagpurIndia

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