模式识别与人工智能
Thursday, Apr. 10, 2025 Home      About Journal      Editorial Board      Instructions      Ethics Statement      Contact Us                   中文
  2010, Vol. 23 Issue (4): 522-530    DOI:
Orignal Article Current Issue| Next Issue| Archive| Adv Search |
Non-Standard Inferences in Description Logics
TANG Su-Qin1,2,CAI Zi-Xing1 ,WANG Ju2,JIANG Yun-Cheng2
1.School of Information Science and Engineering,Central South University,Changsha 410083
2.School of Computer Science and Information Engineering,Guangxi Normal University,Guilin 541004

Download: PDF (753 KB)   HTML (1 KB) 
Export: BibTeX | EndNote (RIS)      
Abstract  Description Logics belong to a kind of formalization method for representing knowledge in the knowledge engineering. Solving the standard and non-standard inferences has become an important research area of description logics in recent years. The significance and research advance on standard and non-standard inferences in description logics are summarized in this paper. The definition of Least Common Subsumer(LCS), Most Specific Concept(MSC), Rewriting, Matching, Debugging and Conservative Extensions, and the actualizing technologies of these Reasoning are given. Problems of the LCS, MSC, Matching, non-standard reasoning of hybrid terminological cycles in description logics and their research advance are discussed in particular. Finally, some prospects of non-standard inference in description logic are discussed.
Key wordsDescription Logics      Standard Inference      Non-Standard Inference      Matching     
Received: 09 June 2009     
ZTFLH: TP181  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
Cite this article:   
URL:  
http://manu46.magtech.com.cn/Jweb_prai/EN/      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2010/V23/I4/522
Copyright © 2010 Editorial Office of Pattern Recognition and Artificial Intelligence
Address: No.350 Shushanhu Road, Hefei, Anhui Province, P.R. China Tel: 0551-65591176 Fax:0551-65591176 Email: bjb@iim.ac.cn
Supported by Beijing Magtech  Email:support@magtech.com.cn