Title: Overcoming Semantic Heterogeneity in Spatial Data Infrastructures
Authors: LUTZ MICHAELSPRADO J.KLIEN EvaSCHUBERT ChrisCHRIST Ingrid
Citation: COMPUTERS & GEOSCIENCES vol. 35 no. 4 p. 739-752
Publisher: PERGAMON-ELSEVIER SCIENCE LTD
Publication Year: 2009
JRC N°: JRC34490
ISSN: 0098-3004
URI: http://dx.doi.org/10.1016/j.cageo.2007.09.017
http://publications.jrc.ec.europa.eu/repository/handle/JRC34490
DOI: 10.1016/j.cageo.2007.09.017
Type: Articles in Journals
Abstract: In current spatial data infrastructures (SDIs), it is still often difficult to effectively exchange or re-use geographic data sets. A main reason for this is semantic heterogeneity, which can occur at different levels: at the metadata, the schema and the data content level. It is the goal of the work presented in this paper to overcome the problems caused by semantic heterogeneity on all three levels. We present a meth-odology based on ontologies and logical reasoning, which enhances the discovery, retrieval, interpretation and integration of geographic data in SDIs. Its benefits and practical use are illustrated with examples from the domains of hydrology and geology.
JRC Institute:Institute for Environment and Sustainability

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