Methodology for Semantic Representing of Product Data in XML

Fu, Xiangjun; Li, Shanping; Guo, Ming; Channa, Nizamuddin

doi:10.1007/978-3-540-30483-8_46

Cited by 4 publications

(1 citation statement)

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“…To satisfy the a large number of sophisticated and complex requirements put forwards by large scale industry, the EXPRESS language has powerful expressing constructs to describe complicated product information, and had been used to built up a family of robust and time-tested standard application protocols which had been implemented in most CAX and PDM systems. In our former works [20] [21], we had propose a translation mechanism which rewrite the EXPRESS based product knowledge base into DL based one. So the system architecture for product data reasoning is composed of three modules, show as figure 2: • Parser for ALCNHR + K D divides DLs with constraints and concrete domain to Π DL and Π CS sub knowledge base.…”

Section: System Architecture For Product Data Reasoningmentioning

confidence: 99%

Product knowledge reasoning

Channa

2005

Proceedings of the 7th International Conference on Electronic Commerce - ICEC '05

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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.

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Section: System Architecture For Product Data Reasoningmentioning

confidence: 99%