Semantic Information in Geo-Ontologies: Extraction, Comparison, and Reconciliation

  • Margarita Kokla
  • Marinos Kavouras
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3534)

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.

Keywords

Noun Phrase Semantic Information Semantic Relation Relative Clause Semantic Property 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Margarita Kokla
    • 1
  • Marinos Kavouras
    • 1
  1. 1.National Technical University of AthensAthensGreece

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