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Solution Overview

Chapter
Part of the Springer Theses book series (Springer Theses)

Abstract

As highlighted in Chaps.  1 and  3, enterprises need to exploit the information on the WWW to gain better insights into the decision making process by considering the wide spectrum of information available. In order to do this, Semantic Web applications need to have the capability to capture, represent, reason and integrate information from different sources which may be incomplete and/or contradictory.

References

  1. Chesnevar C, McGinnis J, Modgil S, Rahwan I, Reed C, Simari G, South M, Vreeswijk G, Willmott S (2006) Towards an argument interchange format. Knowl Eng Rev 21(4):293–316Google Scholar
  2. Dong H, Khadeer Hussain F, Chang E (2010) A human-centered semantic service platform for the digital ecosystems environment. World Wide Web 13(1–2):75–103CrossRefGoogle Scholar
  3. Dung PM (1995) On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games. Artif Intell 77(2):321–357CrossRefMATHMathSciNetGoogle Scholar
  4. Forgy CL (1982) Rete: a fast algorithm for the many pattern/many object pattern match problem. Artif Intell 19(1):17–37CrossRefGoogle Scholar
  5. Garcia AJ, Simari GR (2004) Defeasible logic programming: an argumentative approach. Theory Pract Log Program 4(1–2):95–138CrossRefMATHMathSciNetGoogle Scholar
  6. Kacprzyk J, Fedrizzi M, Nurmi H (1992) Group decision making and consensus under fuzzy preferences and fuzzy majority. Fuzzy Sets Syst 49(1):21–31CrossRefMATHMathSciNetGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.School of Information Systems, Curtin Business SchoolCurtin UniversityBentleyAustralia

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