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Geospatial Semantic Query Engine for Urban Spatial Data Infrastructure

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  • Sunitha Abburu

    (Principal Investigator, Department of Science and Technology, India)

Abstract

The research aims at design and develop a special semantic query engine “CityGML Spatial Semantic Web Client (CSSWC)” that facilitates ontology-based multicriteria queries on CityGML data in OGC standard. Presently, there is no spatial method, spatial information infrastructure or any tool to establish the spatial semantic relationship between the 3D city objects in CityGML model. The present work establishes the spatial and semantic relationships between the 3DCityObjects and facilitates ontology-driven spatial semantic query engine on 3D city objects, class with multiple attributes, spatial semantic relations like crosses, nearby, etc., with all other city objects. This is a novel and original work practically implemented generic product for any 3D CityGML model on the globe. A user-friendly form-based interface is designed to compose effective ontology based GeoSPARQL query. CSSWC enhances CityGML applications performance through effective and efficient querying system.

Suggested Citation

  • Sunitha Abburu, 2019. "Geospatial Semantic Query Engine for Urban Spatial Data Infrastructure," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 15(4), pages 31-51, October.
    • Handle: RePEc:igg:jswis0:v:15:y:2019:i:4:p:31-51
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