Conceptual Modelling (and Problem Solving Techniques) for Complex Narrative Events

Authors:
Gian Piero Zarri
Affiliations:
LaLICC, University Paris4-Sorbonne, Maison de la Recherche --28, rue Serpente, 75006 Paris, France, zarri@noos.fr, gpzarri@paris4.sorbonne.fr
Venue:
Proceedings of the 2006 conference on Information Modelling and Knowledge Bases XVII
Year:
2006

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Abstract

An application of NKRL (Narrative Knowledge Representation Language) techniques on (declassified) 'terrorism' documents has been carried out in the context of the IST Parmenides project. To allow the broadest possible exploitation of the 'semantic content' of the original documents, this application has required implementing the integration between the two main inferencing modes of NKRL, 'hypotheses' and 'transformations'. The paper describes the conceptual problems encountered and the solutions adopted.