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Book (stand-alone)From AGROVOC to the Agricultural Ontology Service / Concept Server
An OWL model for creating ontologies in the agricultural domain
2006Also available in:
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 Agriculture Organization recently developed the underlying model for this new system in the Web ontology language OWL. In this paper, we desc ribe the purpose of this conversion and the use of OWL and highlight in particular the core features of the developed OWL model. We go on to explain how it evolves and differs from the traditional thesaurus approach. -
DocumentA Web-based tool to manage multilingual thesauri: the example of AGROVOC 2008
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No results found.10th biennial International Conference (ISKO 2008), August 5th-8th, 2008, Montreal (Canada) -
DocumentThe AGROVOC Concept Server Workbench: A collaborative tool for managing multilingual knowledge 2008
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No results found.Ontology plays an important role in the enhancement performance of systems, addressing issues such as knowledge sharing, knowledge aggregation as well as information retrieval and question answering. This paper presents the AGROVOC Concept Server Workbench (ACSW) for multilingual ontological concept construction and maintenance. The ACSW is a web 2.0 based application consisting of two main functionalities that are user management and ontological knowledge management (i.e. concept, sch eme, relationship, export, search, validate and consistency check) in order to maintain the knowledge acquisition life-cycle in food and agriculture domain. Knowledge is stored in the form of multilingual concept hierarchy and also kept in the OWL format in order to exchange between machines and to do reasoning. This workbench uses Protégé API as an OWL framework. Moreover the Ontology Game conceptual framework is also presented in order to acquire ontology terms more pleasant.
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