| Home | Organizers | Proceedings Editors | Proceedings Contributors | Search | | ||
|
|
|||
|
||||
|
|
||||
| Title: | PRODUCT KNOWLEDGE REASONING: A DL-BASED APPROACH
The research, is funded by the Natural Science Foundation of China (No. 60174053, No. 60473052). |
|
| DOI No: | 10.1142/9789812701527_0071 | |
| Source: | KNOWLEDGE MANAGEMENT: NURTURING CULTURE, INNOVATION AND TECHNOLOGY (pp 697-698) | |
| Author(s): | 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. | |
| Full Text: | View full text in PDF format (130KB) | |
| TOC: | Back to Table of Contents | |
|
||