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MAZETTE: Multi Agent MUSETTE for Sharing and Reusing Ontologies

  • Jesus Arana
  • Salima Hassas
  • Yannick Prié
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3292)

Abstract

During the realization of a document-mediated collective task the participants act and interact by creating documents and ontologies, by modifying them, annotating them and exchanging them. This article presents the general principles of a model based on a multi-agent architecture, aimed at facilitating the co-construction of common ontologies. The model is built on the MUSETTE (Modelling USEs and Tasks for Tracing Experience) approach, which was designed to provide users with assistance based on the recording and reusing of their system use traces. Our model, called MAZETTE (Multi-Agent MUSETTE), defines a framework for considering sharing and reusing of collective traces and experience, amongst which we focus on ontology co-construction and reuse.

Keywords

Multi Agent System Multiagent System Domain Ontology Semantic Annotation Task Signature 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Jesus Arana
    • 1
  • Salima Hassas
    • 1
  • Yannick Prié
    • 1
  1. 1.Equipe Cognition, Expérience et Agents Situés, LIRIS FRE 2672 CNRSUniversité Claude Bernard Lyon 1Villeurbanne

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