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A Fuzzy Logic Semantic Mapping Approach for Fuzzy Geospatial Ontologies

Authors:
Mohamed Bakillah
Mir Abolfazl Mostafavi

Keywords: semantic interoperability; fuzzy logics; fuzzy geospatial ontology; semantic mapping

Abstract:
The problem of finding semantic mappings between heterogeneous geospatial databases is a key issue in the development of a semantic interoperability approach. An essential step towards the success of a semantic approach is the ability to take into account the fuzzy nature of geospatial concepts being compared and of the semantic mapping process itself. While fuzzy ontologies and quantitative fuzzy matching methods have been proposed, they are not targeted at the geospatial domain. In this paper, we present a fuzzy semantic mapping approach for fuzzy geospatial ontologies, which employs fuzzy logics. The fuzzy semantic mapping approach has the capability to produce fuzzy qualitative semantic relations between concepts of fuzzy ontologies, which are richer than quantitative-only matches that are provided by existing approaches. In an application example, we show how fuzzy mappings can be used to propagate fuzzy queries to relevant sources of a network. In this way, the fuzzy semantic mapping supports geospatial data sharing among remote databases of the network while taking into account uncertainties that are inherent to the geospatial concepts and the semantic interoperability process.

Pages: 21 to 28

Copyright: Copyright (c) IARIA, 2011

Publication date: November 20, 2011

Published in: conference

ISSN: 2308-4510

ISBN: 978-1-61208-175-5

Location: Lisbon, Portugal

Dates: from November 20, 2011 to November 25, 2011