Abstract
A crucial issue during semantic integration of different geographic metadata sources is category comparison and reconciliation. We focus on the development of a framework for identification and resolution of semantic heterogeneity between geographic categories. The framework is divided in three processes: extraction, comparison and reconciliation. The first process performs semantic information extraction and formalization based on definitions of geographic category terms. Definitions constitute important sources of semantic information for geographic categories. Based on specific rules, definitions are analyzed in a set of semantic elements (properties and values). This information is further used in the second process to identify similarities and heterogeneities between geographic categories. Heterogeneity reconciliation is implemented by semantic factoring, a conceptual analysis process which results in a set of non-redundant, non-overlapping categories.
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Kokla, M., Kavouras, M. (2005). Semantic Information in Geo-Ontologies: Extraction, Comparison, and Reconciliation. In: Spaccapietra, S., Zimányi, E. (eds) Journal on Data Semantics III. Lecture Notes in Computer Science, vol 3534. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11496168_6
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DOI: https://doi.org/10.1007/11496168_6
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