Using JessTab to Integrate Protégé and Jess
IEEE Intelligent Systems
Ontology Matching
A review of ontology based query expansion
Information Processing and Management: an International Journal
Semantic annotation for knowledge management: Requirements and a survey of the state of the art
Web Semantics: Science, Services and Agents on the World Wide Web
Algorithm, implementation and application of the SIM-DL similarity server
GeoS'07 Proceedings of the 2nd international conference on GeoSpatial semantics
ER'10 Proceedings of the 2010 international conference on Advances in conceptual modeling: applications and challenges
Proceedings of the First ACM SIGSPATIAL Workshop on Sensor Web Enablement
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Finding relevant geospatial information is increasingly critical because of the growing volume of geospatial data available through distributed environments. It is also a challenge for the ongoing development of the Geospatial Semantic Web.Data brokers provide searchable repositories through which users can generally retrieve the requested data. But generally, these mechanisms lack the capacity to find and combine complementary data from multiple sources. However, such capacity is needed to answer complex queries. In this paper, we propose a new type of system that supports geospatial data retrieval from multiple and complementary sources. The system uses the Semantic Query-Enhanced Web Rule Language (SQWRL) to support reasoning with complex queries and to enable combination of complementary and heterogeneous data. We have developed and included in this system a query expansion method for the resolution of semantic heterogeneities. The proposed system is illustrated with an application example.