Using Semantic Graphs in Clustering Process: Enhance Information Level

  • Authors:
  • Brunner Brunner;Isabelle Berrien

  • Affiliations:
  • CRP Henri Tudor, Luxembourg/ e-lab BOUYGUES SA, France;e-lab BOUYGUES SA, France

  • Venue:
  • WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
  • Year:
  • 2004

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Abstract

In this paper, we particularly focused our attention on how to enhance expressivity of ontologies when used as organized space values in a catalogue request process. Using the Wishbone engine [Method for a data-driven adjustement of queries over a database and system for implementing the method], we describe our new contribution by using a semantic graph instead of a tree for the solution set clustering step. We perform a dynamic transformation in order to enhance the intension meaning, and implement a linear programming clustering algorithm. We also expose a rating system in order to evaluate our clustering process quality.