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Existing classification schemes and thesauri are lacking in well-defined semantics and structural consistency. Empowering end users in searching collections of ever increasing magnitudes with performance far exceeding plain free-text searching (as used in many Web search engines), and developing systems that not only find but also process information for(More)
This paper illustrates the conversion from a traditional thesaurus in agriculture (AGROVOC) to a new system, the Agricultural Ontology Service Concept Server (AOS/CS). The Concept Server will serve as a multilingual repository of concepts in the agricultural domain providing ontological relationships and a rich, semantically sound terminology. The Food and(More)
This paper describes the procedures for a concept-based mapping of two agricultural thesauri, the multilingual AGROVOC, created and maintained by the Food and Agricultural Organization, and the bilingual Chinese Agricultural Thesaurus, created and maintained by the Chinese Academy of Agricultural Science. Conducted under the auspices of FAO's Agricultural(More)
AGROVOC is a multilingual thesaurus developed and maintained by the Food and Agricultural Organization of the United Nations. Like all thesauri, it contains some explicit semantics, which allow it to be transformed into an ontology or used as a resource for ontology construction. However, most thesauri, AGROVOC included, give very broad relationships that(More)
SUMMARY: As with many domains, information retrieval and knowledge management (IR/KM) in agriculture suffers from the problems of semantic heterogeneity, making it difficult for providers to disseminate their services effectively and for users to retrieve the information they need. Based on the analysis of resources in the domain of agriculture, this paper(More)
Ontology creation and document indexing are well-known, critical bottlenecks for integrating semantic services and in general for bootstrapping the Semantic Web. For certain domains or communities, legacy terminologies and indexing methods exist which can be reused effectively. In the Fishery Ontology Project (FOS), we have reengineered and aligned legacy(More)
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