• DocumentCode
    2963254
  • Title

    Management elements metadata extraction method for complex product manufacturing

  • Author

    Ren Nan ; Zhang Xiao-feng

  • Author_Institution
    Sch. of Econ. & Manage., Jiangsu Univ. of Sci. & Technol., Zhenjiang, China
  • fYear
    2013
  • fDate
    17-19 July 2013
  • Firstpage
    604
  • Lastpage
    608
  • Abstract
    Data integration between various systems of complex product manufacturing enterprises and the resource management issues are the focus of the attention of the management sectors. To solve the problem, the ship manufacturing, for example, this paper detailed analyzing the characteristics of its data storage and description, and according to the MOF element model mechanism, using rule-based routes to extract management elements metadata that can standardize swap data and carry management elements information. We also combined static data and dynamic management needs, under the combination of subjective and objective to semantic similarity algorithm of computing the semantic similarity of two concepts, given the ideas and detailed extraction method of management elements metadata. The metadata not only effectively carried data semantic and structural information, laid a solid foundation for the integration of heterogeneous data.
  • Keywords
    human resource management; manufacturing industries; meta data; storage management; MOF element model mechanism; data storage; dynamic management; management elements information; management elements metadata; management sectors; product manufacturing enterprises; resource management issues; semantic similarity algorithm; static data; swap data; Analytical models; Data integration; Data mining; Data models; Manufacturing; Object oriented modeling; Semantics; MOF; complex product manufacturing; management elements metadata; semantic similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering (ICMSE), 2013 International Conference on
  • Conference_Location
    Harbin
  • ISSN
    2155-1847
  • Print_ISBN
    978-1-4799-0473-0
  • Type

    conf

  • DOI
    10.1109/ICMSE.2013.6586342
  • Filename
    6586342