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Semantic-based knowledge categorization and organization for product design enterprises

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Abstract

Former knowledge engineering research aimed at boosting automatic reasoning. However recent knowledge management research focused on promoting the knowledge sharing and reusing among the people. Because of the different aims between the two directions, former knowledge representation schemata, such as rule based representation, frame from knowledge engineering research does not fit to the current knowledge management scenarios. In this paper, for the purpose of building knowledge management systems for product design enterprises, knowledge items are classified into seven types based on the semantics of their usage. Then their representations are discussed respectively. Based on the above classification, a knowledge representation meta-model and a basic domain ontology reference model for cooperative knowledge management systems are put forward. The reference model is an abstraction that can be reused and extended in knowledge management systems of different enterprises. Finally, the patterns of knowledge acquisition processes in cooperative knowledge management scenarios of product design processes are studied.

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Authors and Affiliations

  1. School of Mechanical Engineering, Shanghai Dianji University, Shanghai, 200240, China

    Xi-juan Liu  (刘溪涓)

  2. Department of Computer Science and Technology, Shanghai University of Finance and Economics, Shanghai, 200433, China

    Ying-lin Wang  (王英林)

Authors
  1. Xi-juan Liu  (刘溪涓)
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  2. Ying-lin Wang  (王英林)
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Corresponding author

Correspondence to Xi-juan Liu  (刘溪涓).

Additional information

Foundation item: the National Natural Science Foundation of China (No. 61375053), and the National High-Technology Research and Development Program (863) of China (No. 2009AA04Z106)

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Liu, Xj., Wang, Yl. Semantic-based knowledge categorization and organization for product design enterprises. J. Shanghai Jiaotong Univ. (Sci.) 20, 106–112 (2015). https://doi.org/10.1007/s12204-015-1596-9

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  • DOI: https://doi.org/10.1007/s12204-015-1596-9

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