期刊文献+

Large-Scale Ontology Development and Agricultural Application Based on Knowledge Domain Framework 被引量:3

Large-Scale Ontology Development and Agricultural Application Based on Knowledge Domain Framework
下载PDF
导出
摘要 The key activity to build semantic web is to build ontologies. But today, the theory and methodology of ontology construction is still far from ready. This paper proposed a theoretical framework for massive knowledge management- the knowledge domain framework (KDF), and introduces an integrated development environment (IDE) named large-scale ontology development environment (LODE), which implements the proposed theoretical framework. We also compared LODE with other popular ontology development environments in this paper. The practice of using LODE on management and development of agriculture ontologies shows that knowledge domain framework can handle the development activities of large scale ontologies. Application studies based on the described briefly. principle of knowledge domain framework and LODE was The key activity to build semantic web is to build ontologies. But today, the theory and methodology of ontology construction is still far from ready. This paper proposed a theoretical framework for massive knowledge management- the knowledge domain framework (KDF), and introduces an integrated development environment (IDE) named large-scale ontology development environment (LODE), which implements the proposed theoretical framework. We also compared LODE with other popular ontology development environments in this paper. The practice of using LODE on management and development of agriculture ontologies shows that knowledge domain framework can handle the development activities of large scale ontologies. Application studies based on the described briefly. principle of knowledge domain framework and LODE was
出处 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2012年第5期808-822,共15页 农业科学学报(英文版)
基金 supported by the Key Technology R&D Program of China during the 12th Five-Year Plan period:Super-Class Scientific and Technical Thesaurus and Ontology Construction Faced the Foreign Scientific and Technical Literature (2011BAH10B01)
关键词 massive knowledge management knowledge domain framework (KDF) large-scale ontology developmentenvironment (LODE) agricultural application massive knowledge management, knowledge domain framework (KDF), large-scale ontology developmentenvironment (LODE), agricultural application
  • 相关文献

参考文献2

二级参考文献33

  • 1Auer S,Dietzold S,Riechert T. OntoWiki:a tool for social, semantic collaboration[A].Springer,Athens,GA,2006.
  • 2Falconer S M,Tudorache T,Nyulas C,Noy N F, Musen M A. WebProtégé:Supporting the creation of ICD-11[OL].http://iswc2010.semanticweb.org/pdf/502.pdf,2010.
  • 3Farquhar A,Fikes R,Rice J. The Ontolingua server:a tool for collaborative ontology construction[OL].http://www.agent.ai/doc/upload/200302/farq97_l.pdf,2010.
  • 4Finin T,Joshi A,Kagal L,Niu J, Sandhu R, Winsborough W,Thuraisingham B. Rowlbac:role based access control in owl[A].Estes Park,CO,USA,2008.
  • 5Haase P;Lewen H;Studer R;Tran T; Erdmann M; d'Aquin M; Motta E.The neOn ontology engineering toolkit[A]北京,2008.
  • 6Liang A C,Sini M. Mapping AGROVOC and the Chinese agricultural thesaurus:definitions,tools,procedures[J].New Review of Hypermedia and Multimedia,2006.51-62.doi:10.1080/13614560600774396.
  • 7Liang A,Sini M,Chang C,Li S J, Lu W L,He C P,Keizer J. The mapping schema from Chinese agricultural thesaurus to AGROVOC[OL].ftp://ftp.fao.org/docrep/fao/008/af241e/af241e00.pdf,2010.
  • 8Noy N F,Chugh A,Liu W,Musen M A. A framework for ontology evolution in collaborative environments[A].Springer,Athens,GA,2006.doi:10.1093/hmg/ddr346.
  • 9Sini M,Lauser B,Salokhe G,Keizer J, Katz S. The AGROVOC Concept Server:rationale, goals and usage[OL].ftp://ftp.fao.org/docrep/fao/010/ai167e/ai167e00.pdf,2010.
  • 10Sini M,Rajbhandari S,Amirhosseini M,Johannsen G, Morshed A, Keizer J. The AGROVOC Concept Server Workbench System:Empowering management of agricultural vocabularies with semantics[A].Montpellier (France),2010.

共引文献7

同被引文献10

引证文献3

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部