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Product Knowledge Reasoning: A Dl-Based Approach

In: Knowledge Management Nurturing Culture, Innovation, and Technology

Author

Listed:
  • NIZAMUDDIN CHANNA

    (College of Computer Science, Zhejiang University, Hangzhou, P.R. China 310027, P.R. China)

  • SHANPING LI

    (College of Computer Science, Zhejiang University, Hangzhou, P.R. China 310027, P.R. China)

  • XIANGJUN FU

    (College of Computer Science, Zhejiang University, Hangzhou, P.R. China 310027, P.R. China)

Abstract

In order to capture the full fledge semantic of complicated product data model, the expressive language ALCNHR+K(D) is introduced. It cannot only be able to represent knowledge about concrete domain and constraints, but also rules in some sense of closed world semantic model hypothesis. Also the paper investigates an extension to description logic (DL) based knowledge reasoning by means of decomposing and rewriting complicated hybrid concepts into partitions. We present an approach that automatically decomposes the whole knowledge base into description logic compatible one and constraints solver one. Our arguments are two-fold. First, complex DLs with powerful representation ability lack effective reasoning ability. Second, we are concerned with how to reason effectively with the combination of inferences from distributed heterogeneous reasoner.

Suggested Citation

  • Nizamuddin Channa & Shanping Li & Xiangjun Fu, 2005. "Product Knowledge Reasoning: A Dl-Based Approach," World Scientific Book Chapters, in: Suliman Hawamdeh (ed.), Knowledge Management Nurturing Culture, Innovation, and Technology, chapter 71, pages 697-698, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789812701527_0071
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