期刊文献+

规则驱动的企业互操作本体构造

Rules-driven enterprises interoperability ontology construction
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摘要 为解决企业互操作中信息共享与重用问题,提出了一种基于规则集和对象关系数据库的企业互操作本体构造方法。首先给出了企业互操作的本体构造模型,然后依据该模型提出了从对象关系数据库构造本体的四类规则,并给出了相应的形式化定义和Web本体描述语言。使用该四类规则可以分别构造出本体的类、属性、属性特征和属性约束四类要素。实验表明,该方法是可行且高效的,与关系数据库构造本体的方法相比减少了约18%的构造时间。将该方法实际应用到企业互操作平台中,取得了良好效果。 To solve the problems of information sharing and reuse in enterprises interoperation, an approach to construct ontology based on Object-Relational Databases (ORDB) and a set of rules were proposed. Ontology construction model of interoperation was presented firstly. Then, four types of rules in ontology construction were formalized including class, properties, property characteristics and property restrictions. Also the corresponding formal definition and Web Ontology Language (OWL) description of constructing rules was also given. Experimental results showed that the approach was feasible and effective. It reduced about 18% construction time compared to the ontology construction from relational databases. Also this approach was applied in enterprises interoperation and was proved to be practical.
作者 陈佳 吴跃
出处 《计算机集成制造系统》 EI CSCD 北大核心 2008年第7期1427-1433,共7页 Computer Integrated Manufacturing Systems
基金 国家自然科学基金资助项目(60471055) 四川省科技攻关资助项目(2006Z01-011)~~
关键词 互操作 规则驱动 本体 网络本体语言 对象关系数据库 信息共享与重用 interoperability rule-driven ontology Web ontology language object-relational databases information sharing and reuse.
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参考文献15

  • 1李瑜,黄必清,刘文煌,吴澄.虚拟企业伙伴选择问题领域的目标本体论[J].计算机集成制造系统-CIMS,2002,8(2):85-90. 被引量:14
  • 2刘晓峰.欧盟第六框架IN-TEROP项目欧洲虚拟实验室(INTEROP VLab)中国节点(China Pole)背景材料[R].哈尔滨:哈尔滨工业大学,2007.
  • 3STOJANOVIC L, STOJANOVIC N, VOLZ R. Migrating data-intensive Web sites into the semantic Web[C]//Proceedingsof the 17th ACM Symposium on Applied Computing. New York, N. Y., USA : ACM Press, 2002:1100-1107.
  • 4KLYNE, CARROLl. J. Resource description framework (RDF): concepts and abstract syntax[ EB/OL]. [2007-06-09 ]. http:// www. w3. org/TR/2004/REC-rdf-concepts-20040210/.
  • 5LI M, DU X Y, WANG S. Learning ontology from relational database[C]//Proeeedings of the 4th International Conference on Machine Learning and Cybernetics. Piscataway, N J. , USA : IEEE Press,2005:3410-3415.
  • 6SMITH M K, WELTY C, MCGUINNESS D L. OWL Web ontology language guide [EB/OL]. [2007-08-25]. http:// www. w3. org/TR/2OO4/REC-owl-guide-20040210.
  • 7MCGUINNESS D L, HARMELEN F V. OWL overview recommendation [EB/OL]. [2007-06-08]. httpJ/www, w3. org/ TR/2004/REC-owl-features-20040210/.
  • 8RUBIN DL, HEWETT M, OLIVER DE, et al. Automatic data acquisition into ontologies from pharmacogenetics relational data sources using declarative object definitions and XML[C]//Proceedings of the 7th Pacific Symposium on Biocomputing. Singapore: World Scientific Publishing, 2002: 88- 99.
  • 9CHANDRASEKARAN B, JOSEPHSON J R, BENJAMINS V R. What are ontologies, and why do we need them[J]. IEEE Intelligent Systems, 1999,14(1) : 20-26.
  • 10SILBERSCHATZ A, KORTH H F, SUDARSHAN S, et al. Database system concepts, international edition[M]. Columbus, Ohio, USA: McGraw-Hill Science Engineering, 2005.

二级参考文献15

  • 1杜波,田怀凤,王立,陆汝占.基于多策略的专业领域术语抽取器的设计[J].计算机工程,2005,31(14):159-160. 被引量:26
  • 2郑家恒,卢娇丽.关键词抽取方法的研究[J].计算机工程,2005,31(18):194-196. 被引量:41
  • 3黄必清 勾红梅 等.八六三计划“八五”期间项目“虚拟企业的创建与动态运作研究”工作报告[M].北京:清华大学国家CIMS工程技术研究中心,2000..
  • 4P Buitelaar et al.A Protege Plug-In for Ontology Extraction from Text Based on Linguistic Analysis[C].In:ESWS,2004
  • 5Ana G Maguitman,Filippo Menczer. Algorithm detection of semantic similarity[C].In: WWW2005, Chiba, Japan, 2005-05
  • 6Roberto Navigli,Paola Velardi.Learning domain ontologies from document warehouses and dedicated web site[M].Computational Linguistics(30-2) ,MIT Press,2004-06
  • 7Maedche A,Staab S.Ontology learning for the semantic web[J].IEEE Intelligent Systems,2001; 16(2)
  • 8Marta Sabou. Extracting ontologies from software documentation:a semi-antomatic method and its evalution[C].In:ECAI 2004,2004
  • 9Thanh Tho Quan et al. Automatic generation of ontology for scholarly semantic web[C].In :ISWC2004, LNCS 3298,2004:726~740
  • 10Maria Teresa Pazienza et al. Modelling semantic grid knowledge embedded in documents[C].In:Proceedings of the 13th IEEE International Workshops on enabling technologies:Infrastructure for collaborative enterprises(WET ICE'04),2004

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