Fast Algorithms for Solving Path Problems
Journal of the ACM (JACM)
Toward the semantic geospatial web
Proceedings of the 10th ACM international symposium on Advances in geographic information systems
A New Approach in Object-Based Knowledge Representation: The AROM System
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Ρ-Queries: enabling querying for semantic associations on the semantic web
WWW '03 Proceedings of the 12th international conference on World Wide Web
Dealing with geospatial information in the semantic web
AOW '05 Proceedings of the 2005 Australasian Ontology Workshop - Volume 58
Discovering and ranking semantic associations over a Large RDF metabase
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Towards the geo-spatial querying of the semantic web with ONTOAST
W2GIS'07 Proceedings of the 7th international conference on Web and wireless geographical information systems
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
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Towards the concretization of Egenhofer's idea of a future Geospatial Semantic Web, an important limitation is the absence of spatial and temporal reasoners capable of combining quantitative and qualitative knowledge for inferring new relations between individuals described in OWL or RDF(S) ontologies. As a first response to this limitation, we propose the use of the ONTOAST system, a spatio-temporal ontology modeling and semantic query environment compatible with OWL-DL. In this paper we illustrate the practical use of ONTOAST for querying the Geospatial Semantic Web in order to discover semantic associations between individuals. We present problems we have encounter when handling spatial and temporal knowledge described in OWL-DL as well as the solutions we have adopted.