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Book (stand-alone)Automatic Term Relationship Cleaning and Refinement for AGROVOC 2005
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No results found.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 lack the semantic precision needed in an ontology. Many relationships in a thesaurus are incorrectly applied or defined too broadly. According ly, extracting ontological relationships from a thesaurus requires data cleaning and refinement of semantic relationships. This paper presents a hybrid approach for (semi-)automatically detecting these problematic relationships and for suggesting more precisely defined ones. The system consists of three main modules: Rule Acquisition, Detection and Suggestion, and Verification. The Refinement Rule Acquisition module is used to acquire rules specified by experts and through machine learning. The Detection and Suggestion module uses noun phrase analysis and WordNet alignment to detect incorrect relationships and to suggest more appropriate ones based on the application of the acquired rules. The Verification module is a tool for confirming the proposed relationships. We are currently trying to apply the learning system with some semantic relationships to test our method. -
DocumentMapping AGROVOC and the Chinese Agricultural Thesaurus: Definitions, tools, procedures 2006
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No results found.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 Ontology Service, the mapping project aims to extend AGROVOC with an additional set of perspectives on the agricultural domains, enrich its d omain and language coverage, and to make use of AGROVOC as a common data model for data exchange among a wide range of multilingual repositories within agriculture. -
Book (stand-alone)The AGROVOC Concept Scheme-A Walkthrough 2012
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No results found.The Food and Agriculture Organization is developing a concept based multilingual vocabulary management tool to manage thesauri, authority lists and glossaries expressed as concept schemes ready to be used in a linked data environment. In this paper, we described the evolution of the AGROVOC thesaurus to AGROVOC Concept Scheme based on OWL (web ontology language) model and now shifting to SKOS (simple knowledge organization system) model. The paper explained why and how it evolved highlig hting the key differences between different models. The system architecture and significant set of features available in the VocBench was discussed in the paper.
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