Introducing Graph-Based Reasoning into a Knowledge Management Tool: An Industrial Case Study

  • Olivier Carloni
  • Michel Leclère
  • Marie-Laure Mugnier
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4031)


This paper is devoted to an industrial case study focused on the issue of how to enhance ITM, a knowledge management tool, with reasoning capabilities, primarily by introducing a semantic query mechanism. ITM knowledge representation language is based on topic maps. We show that these topic maps (and especially those describing the domain ontology and the annotation base) can be naturally mapped to the SG family, a sublanguage of conceptual graphs. As this mapping is reversible, ITM can be equipped with a graph-based query language equivalent to conjunctive queries and it can be enriched with inference rules.


Inference Rule Query Language Domain Ontology Conjunctive Query Conceptual Graph 
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 2006

Authors and Affiliations

  • Olivier Carloni
    • 1
    • 2
  • Michel Leclère
    • 1
  • Marie-Laure Mugnier
    • 1
  1. 1.LIRMM, CNRS – Université Montpellier 2MontpellierFrance
  2. 2.Mondeca, 3 cité NollezParisFrance

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