PRODUCT KNOWLEDGE REASONING: A DL-BASED APPROACH

Nizamuddin Channa, Shanping Li and Xiangjun Fu
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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

Chapter 71 in Knowledge Management:Nurturing Culture, Innovation, and Technology, 2005, pp 697-698 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractIn 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.

Keywords: Knowledge Management; Knowledge Sharing; Knowledge Discovery; KM Tools and Technologies; Communication and Organization Culture (search for similar items in EconPapers)
Date: 2005
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