Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Maintaining knowledge about temporal intervals
Communications of the ACM
Modern Information Retrieval
Analyzing theme, space, and time: an ontology-based approach
GIS '06 Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems
Query expansion through geographical feature types
Proceedings of the 4th ACM workshop on Geographical information retrieval
On What Goes On: The Ontology of Processes and Events
Proceedings of the 2006 conference on Formal Ontology in Information Systems: Proceedings of the Fourth International Conference (FOIS 2006)
Providing Universal Access to History Textbooks: A Modified GIS Case
W2GIS '09 Proceedings of the 9th International Symposium on Web and Wireless Geographical Information Systems
Interaction with geographic information systems via spatial queries
Journal of Visual Languages and Computing
Geographic information retrieval by topological, geographical, and conceptual matching
GeoS'07 Proceedings of the 2nd international conference on GeoSpatial semantics
Building geospatial ontologies from geographical databases
GeoS'07 Proceedings of the 2nd international conference on GeoSpatial semantics
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
Ontology-Based spatial query expansion in information retrieval
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, COA, and ODBASE - Volume Part II
Event-centric search and exploration in document collections
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
Modeling geographic, temporal, and proximity contexts for improving geotemporal search
Journal of the American Society for Information Science and Technology
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Geographical data commonly available on the Web is often related to thematic and temporal data, and represented in heterogeneous data sources. This makes geographical information retrieval tasks non straightforward processes as the information available is often unstructured. The research presented in this paper introduces an ontology-driven approach whose objective is to facilitate retrieval of geographical information on the Web. Spatio- temporal queries are categorized in order to solve questions related to several complementary modeling dimensions: when, what and where. The retrieval strategy is based on the exploration of a spatio-temporal ontology, and implemented by a search engine. The whole approach is exemplified by a prototype development, and the results obtained are evaluated by a metrics based on recall and precision measures. The experimental findings show that the strategy is effective for the types of spatio-temporal queries used by our geographical retrieval approach.