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Research on Product Case Representation and Retrieval Based on Ontology

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Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence (ICIC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5227))

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Abstract

Aiming at the problem that no representation can realize completely expression, intelligibility and easy operation, a method of knowledge representation based on ontology is adopted and it is applied to product case. The discrimination of case similarity is the foundation of case retrieval. Considering the influence on similarity from attribute, an improved similarity algorithm is presented. Hierarchical retrieval based on attribute tables is used. Then the best case is properly searched. Finally, a cleaner as an example is provided to illustrate the validity about the case retrieval.

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Authors and Affiliations

  1. Liaoning Key Lab of Intelligent information Processing, Dalian University, 116622, Dalian, China

    Yan Shen, XiaoPeng Wei & JianWei Wang

Authors
  1. Yan Shen
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  2. XiaoPeng Wei
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  3. JianWei Wang
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Editor information

De-Shuang Huang Donald C. Wunsch II Daniel S. Levine Kang-Hyun Jo

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© 2008 Springer-Verlag Berlin Heidelberg

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Shen, Y., Wei, X., Wang, J. (2008). Research on Product Case Representation and Retrieval Based on Ontology. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2008. Lecture Notes in Computer Science(), vol 5227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85984-0_146

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  • DOI: https://doi.org/10.1007/978-3-540-85984-0_146

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85983-3

  • Online ISBN: 978-3-540-85984-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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