Geospatial ontologies matching: An information theoretic approach

Geographic data is often collected from independent sources and is usually heterogeneous in nature. Integration of these heterogeneous data sources is a crucial task. The recent developments in the semantic web domain have shown great potential to address the geospatial data integration issues. Ontology matching is seen as a solution for integration problems and has attracted wide attention. Geospatial domain is characterized by vagueness moreover semantic ambiguity leads to uncertainty in developing ontology and this is propagated to the ontology-matching phase. Hence, to resolve the uncertainty issues this study focuses on the adaptation of information theory based approaches for geospatial ontology matching.