Semantic Analysis for the Geospatial Semantic Web

Abstract

Abstract. Semantic analysis is a new search paradigm for the Semantic Web, which aims the automatic extraction of semantic associations existing between individuals described in RDF(S) graphs. In order to infer additional semantic associations and to increase the accuracy of the analysis, we propose here, to adapt semantic analysis for OWL-DL ontologies. We also show that by taking into account spatio-temporal information which is usually attached to resources, new and possibly interesting semantic associations can be discovered. Moreover, we propose to handle spatial and temporal contexts in order to limit the scope of the analysis to a given region of space and a given period of time, considered interesting from the user's point of view. For reasoning with spatial and temporal information and relations we use ONTOAST, a spatio-temporal representation and querying system, which is compatible with OWL-DL.