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RnR: A System for Extracting Rationale from Online Reviews and Ratings

  • Dwi A. P. Rahayu
  • Shonali Krishnaswamy
  • Cyril Labbe
  • Oshadi Alhakoon
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6470)

Abstract

In this paper we present a web based system as well as web service based application to summarise and extract the rationale that underpins online ratings and reviews. The web-based version of RnR system is available for testing from http://rnrsystem.com/RnRSystem. RnR system web service is available from http://rnrsystem.com/axis2/services/RnRData?wsdl.

Keywords

Review mining Online Reviews/Ratings 

References

  1. 1.
    Hu, M., Liu, B.: Mining opinion features in customer reviews. In: Proceedings of National Conference of Artificial Intelligent, pp. 755–760. AAAI Press, San Jose (2004)Google Scholar
  2. 2.
    Sherchan, W., Loke, S.W., Krishnaswamy, S.: Explanation aware service selection: Rationale and reputation. Service Oriented Computing and Applications 2(4), 203–218 (2008)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Dwi A. P. Rahayu
    • 1
  • Shonali Krishnaswamy
    • 1
  • Cyril Labbe
    • 2
  • Oshadi Alhakoon
    • 1
  1. 1.Centre of Distributed System and Software EngineeringMonash UniversityAustralia
  2. 2.University of GenobleFrance

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