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The Semantic Web – ISWC 2004

Volume 3298 of the series Lecture Notes in Computer Science pp 823-837

ORIENT: Integrate Ontology Engineering into Industry Tooling Environment

  • Lei ZhangAffiliated withAPEX Data and Knowledge Management Lab, Department of Computer Science and Engineering, Shanghai JiaoTong University
  • , Yong YuAffiliated withAPEX Data and Knowledge Management Lab, Department of Computer Science and Engineering, Shanghai JiaoTong University
  • , Jing LuAffiliated withAPEX Data and Knowledge Management Lab, Department of Computer Science and Engineering, Shanghai JiaoTong University
  • , ChenXi LinAffiliated withAPEX Data and Knowledge Management Lab, Department of Computer Science and Engineering, Shanghai JiaoTong University
  • , KeWei TuAffiliated withAPEX Data and Knowledge Management Lab, Department of Computer Science and Engineering, Shanghai JiaoTong University
  • , MingChuan GuoAffiliated withAPEX Data and Knowledge Management Lab, Department of Computer Science and Engineering, Shanghai JiaoTong University
  • , Zhuo ZhangAffiliated withAPEX Data and Knowledge Management Lab, Department of Computer Science and Engineering, Shanghai JiaoTong University
  • , GuoTong XieAffiliated withIBM China Research Lab
  • , Zhong SuAffiliated withIBM China Research Lab
    • , Yue PanAffiliated withIBM China Research Lab

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Abstract

Orient is a project to develop an ontology engineering tool that integrates into existing industry tooling environments – the Eclipse platform and the WebSphere Studio developing tools family. This paper describes how two important issues are addressed during the project, namely tool integration and scalability. We show how Orient morphs into the Eclipse platform and achieves UI and data level integration with the Eclipse platform and other modelling tools. We also describe how we implemented a scalable RDF(S) storage, query, manipulation and inference mechanism on top of a relational database. In particular, we report the empirical performance of our RDF(S) closure inference algorithm on a DB2 database.