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|Title:||Overcoming Semantic Heterogeneity in Spatial Data Infrastructures|
|Authors:||LUTZ MICHAEL; SPRADO J.; KLIEN Eva; SCHUBERT Chris; CHRIST Ingrid|
|Citation:||COMPUTERS & GEOSCIENCES vol. 35 no. 4 p. 739-752|
|Publisher:||PERGAMON-ELSEVIER SCIENCE LTD|
|Type:||Articles in periodicals and books|
|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:||Sustainable Resources|
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