Full title:\r\n\r\n \r\n\r\nKavouras, M., Kokla, M., and Tomai, E., “Determination, Visualization and Interpretation of Semantic Similarity among Different Geographic Ontologies”, Proceedings of the 6th AGILE Conference on Geographic Information Science, 24-26 April, Lyon, France, 2003.\r\n\r\n \r\n\r\nAbstract:\r\n\r\n \r\n\r\nA close inspection of existent ontologies shows that although they refer to the same concepts, they use different semantics due to different contexts. This “Babel Tower” makes the association process and the establishment of an integrated ontology very problematic.\r\n\r\nIn the framework of our ontological research (http://ontogeo.ntua.gr/), previous work has introduced a methodology for the integration of heterogeneous ontologies in order to achieve semantic interoperability. In this endeavor, we further need to identify and resolve unambiguously existing heterogeneities. The purpose of the present research is to extract semantic information from definitions and to enrich the representation of categories with semantic relations in order to disambiguate geographic categories. The ability to represent and visualize the degree of semantic similarity with concept mapping tools can greatly facilitate the entire process.\r\n\r\nFor tackling these semantic heterogeneities, we explore the similarities/ dissimilarities of three well-known ontologies for geographic categories – CORINE LC, MEGRIN and WordNet. This paper shows to what extent differentiation of the given ontologies, with regard to the definitions used, influence the association of similar concepts.\r\n\r\n \r\n\r\nDownload: here