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A Computational Model for Dealing with Narratives

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Information Systems, E-learning, and Knowledge Management Research (WSKS 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 278))

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Abstract

In this paper, we provide some details about NKRL (Narrative Knowledge Representation Language), which is both a conceptual language – based on the use of two different ontologies, a ‘standard’ ontology and an ‘event-oriented’ one – and a querying/inference environment. NKRL has been expressly specified and implemented for an ‘intelligent’ representation and management of narratives and event information.

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References

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Author information

Authors and Affiliations

  1. LaLIC/STIH Laboratory, Sorbonne University, Maison de la Recherche, 28 rue Serpente, 75006, Paris, France

    Gian Piero Zarri

Authors
  1. Gian Piero Zarri
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Editor information

Editors and Affiliations

  1. The American College of Greece, Agia Paraskevi, Athens, Greece

    Miltiadis D. Lytras

  2. Ghent University, Gent, Belgium

    Da Ruan

  3. College of Education and Human Development, University of Minnesota, Minneapolis, MN, USA

    Robert D. Tennyson

  4. University of Oviedo, Oviedo-Asturias, Spain

    Patricia Ordonez De Pablos

  5. Universidad de Salamanca, Salamanca, Spain

    Francisco José García Peñalvo

  6. Department of Computer and Systems Sciences, Stockholm University, Kista, Sweden

    Lazar Rusu

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© 2013 Springer-Verlag Berlin Heidelberg

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Zarri, G.P. (2013). A Computational Model for Dealing with Narratives. In: Lytras, M.D., Ruan, D., Tennyson, R.D., Ordonez De Pablos, P., García Peñalvo, F.J., Rusu, L. (eds) Information Systems, E-learning, and Knowledge Management Research. WSKS 2011. Communications in Computer and Information Science, vol 278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35879-1_59

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  • DOI: https://doi.org/10.1007/978-3-642-35879-1_59

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35878-4

  • Online ISBN: 978-3-642-35879-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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