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Author (up) Vargas-Vera, M.; Nagy, M.; De Pablos, P.O. pdf  url
  Title A Framework For Detecting And Removing Knowledge Overlaps In A Collaborative Environment: Case Of Study A Computer Configuration Problem Type
  Year 2013 Publication Journal Of Web Engineering Abbreviated Journal J. Web Eng.  
  Volume 12 Issue 5 Pages 422-438  
  Keywords Knowledge-based systems; Knowledge integration; Configuration  
  Abstract This paper presents a framework for knowledge integration based on mappings between similar concepts in constraint graphs associated to a configuration problem. In particular, the paper deals with one of the problems which could arise when performing collaborative knowledge integration, namely detecting knowledge overlaps. The solution to the overlapping problem relies on the use of matching algorithms embedded in DSSim (short for Dempster-Shafer Similarity). To illustrate the approach, a case study of a computer configuration problem is presented. The solution to the knowledge overlap problem is important as it has the promise to become an alternative approach for the current knowledge integration solutions. Through our approach the real cost of integration can be reduced as it is not necessary to invest a great amount of resources beforehand a truly integrated system can be operational.  
  Address [Vargas-Vera, Maria] Univ Adolfo Ibanez, Ctr Invest Informat, Fac Ingn & Ciencias, Vinia Del Mar, Chile, Email:;  
  Corporate Author Thesis  
  Publisher Rinton Press, Inc Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1540-9589 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000324004200005 Approved  
  Call Number UAI @ eduardo.moreno @ Serial 309  
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