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制造业信息系统多源异构知识集成 被引量:7

Heterogeneous knowledge syntheses for manufacturing information systems
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摘要 为了实现制造业信息系统中各类多源异构的数据、信息和知识层的集成,提出一个全新的可计算框架体系。通过定义一个应用领域的本体论,明确地定义其领域标准词汇和关系。同时,也形式化地定义一个对本体论具体状态进行详细说明的知识库,由此建立一个异构源的信息转化为通用的知识表示模型,解决知识集成过程中结构和语义两方面的异构问题。之后,应用资源描述框架模式(RDFS)作为信息和知识的核心转换技术,进行异构知识的转换和映射,实现异构知识集成。 To integrate a variety of heterogeneous sources in an E-Manufacturing environment, an innovative architecture was put forward to provide a computing framework for knowledge syntheses. A common knowledge representation (CKR) model was proposed to resolve both structural and semantic heterogeneity issues in performing heterogeneous knowledge synthesis. This model defined not only domain ontology but also domain standard glossary and their relationship. At the same time, a knowledge base was built to elaborate the status of ontology. A resource description framework schema (RDFS) was developed based on the defined domain ontology and used as the vehicle for data transformation. So information retrieved from each specific heterogeneous communication channel was transformed into knowledge conforming to CKR in RDFS. As a result, the consistent and current knowledge is retrieved according to decision-making demand.
作者 徐琪 Robin Qiu
出处 《计算机集成制造系统》 EI CSCD 北大核心 2004年第7期732-736,750,共6页 Computer Integrated Manufacturing Systems
基金 教育部优秀青年资助计划项目(教人司2003[355]) 宁夏自然科学基金资助项目(D1003) 宁夏大学科研基金资助项目(032504)。~~
关键词 知识集成 异构 信息融合 资源描述框架集成 信息时代制造企业 knowledge synthesis heterogeneity information fusion resource description framework schema e-Manufacturing
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参考文献14

  • 1KOCH C. Why your integration efforts end up looking like this[J]. CIO, 2001,15(4): 98- 108.
  • 2HOWELLS R. ERP needs shop-floor data[J]. Manufacturing Engineering, 2000,10: 54- 62.
  • 3QIU R. A data fusion framework for an integrated plantwide information system[A]. The 5th Irternational Conference on Information Fusion [C]. CA, USA: ISIF/IEEE, 2002. 101-107.
  • 4MAEDCHE A. Ontology learning for the semantic web[M].Boston, USA: Kluwer Academic Publishers, 2002.
  • 5BLOSE D, PILLAI D. E-manufacturing in semiconductor processing[J]. Semiconductor International, 2001,7 ( 7 ): 88 -96.
  • 6MESA. Controls definition & MES to controls data flow possibilities[R]. Arizona, USA: MESA International - White Paper Number, 2000.
  • 7QIU R,JOSHI S. A structured adaptive supervisory control methodology for modeling the control of a discrete event manufacturing system[J]. IEEE Transactions on Systems, Man,and Cybernetics, Part A: Systems and Humans, 1999,29(6):573-586.
  • 8QIU R,GRANT D. Virtual equipment module-a generic equipment control interface[A]. The 14th IFAC World Congress[C]. Beijing:IFAC,1999. 449-454.
  • 9MASTERS J. Structured knowledge source integration and its applications to information fusion[A]. The 5th International Conference on Information Fusion[C]. CA, USA: ISIF/IEEE,2002. 1340- 1346.
  • 10SALERNO J. Information fusion:a high-level architecture overview[A]. The 5th International Conference on Information Fusion [C]. CA,USA:ISIF/IEEE,2002. 680-686.

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