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|Title:||Resource Discovery in a European Spatial Data Infrastructure|
|Authors:||SMITS PAUL; FRIIS-CHRISTENSEN ANDERS|
|Citation:||IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING vol. 19 no. 1 p. 85-95|
|Publisher:||IEEE COMPUTER SOC|
|Type:||Articles in Journals|
|Abstract:||The geo-spatial community is moving towards distributed databases and web services, by following the general developments in information and communication technology. The sharing of resources across multiple information communities raises the need of new technologies that support resource discovery and information retrieval. This article investigates if a common ontology is desirable and feasible for information retrieval in a European Spatial Data Infrastructure. It does so by reviewing relevant literature and proposes an approach for the automatic updating of existing ontologies, designed to facilitate access to multi-lingual descriptors of geo-spatial resources. We demonstrate by means of a prototype of an experimental system that the proposed approach is feasible. The experimental system is unique because it integrates a gazetteer, the EuroVoc multi-lingual vocabulary, the GEMET multi-lingual thesaurus, an automatic concept space generator and graph matching into one system. Based on our study we conclude that it will be impractical to rely only on one common ontology for resource discovery. We also conclude that the approach of using human-created ontologies in combination with automatic concept space generation and associative retrieval is a powerful means to the discovery of geospatial resources. In the absence of a consistent use of semantic web technologies, a centralized approach to indexing of metadata is required, which has consequences for architectural choices.|
|JRC Institute:||Institute for Environment and Sustainability|
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