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. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Carloni, O., Leclère, M., & Mugnier, M. L. (2006). Introducing graph-based reasoning into a knowledge management tool: An industrial case study. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4031 LNAI, pp. 590–599). Springer Verlag. https://doi.org/10.1007/11779568_64
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