Journal of Integrative Agriculture ›› 2012, Vol. 11 ›› Issue (5): 694-699.DOI: 10.1016/S1671-2927(00)8590

• 论文 •    下一篇

The AGROVOC Concept Scheme-A Walkthrough

 Sachit Rajbhari, Johannes Keizer   

  1. Food and Agriculture Organization of the United Nations, Rome 00153, Italy
  • 收稿日期:2011-06-28 出版日期:2012-05-01 发布日期:2012-07-18
  • 通讯作者: Correspondence Sachit Rajbhandari, E-mail: sachit.rajbhandari@fao.org
  • 作者简介:Correspondence Sachit Rajbhandari, E-mail: sachit.rajbhandari@fao.org

The AGROVOC Concept Scheme-A Walkthrough

 Sachit Rajbhari, Johannes Keizer   

  1. Food and Agriculture Organization of the United Nations, Rome 00153, Italy
  • Received:2011-06-28 Online:2012-05-01 Published:2012-07-18
  • Contact: Correspondence Sachit Rajbhandari, E-mail: sachit.rajbhandari@fao.org
  • About author:Correspondence Sachit Rajbhandari, E-mail: sachit.rajbhandari@fao.org

摘要: 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 highlighting the key differences between different models. The system architecture and significant set of features available in the VocBench was discussed in the paper.

关键词: semantic web, ontologies, thesauri, OWL, SKOS, AGROVOC

Abstract: 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 highlighting the key differences between different models. The system architecture and significant set of features available in the VocBench was discussed in the paper.

Key words: semantic web, ontologies, thesauri, OWL, SKOS, AGROVOC