Abstract
A considerable amount of important, ‘economically relevant’ information is buried into natural language ‘narrative’ documents. In these, the information content (the ‘meaning’) consists mainly in the description of facts or events relating the real or intended behaviour of some (not necessarily human) actors. In this paper, we describe the methodology used in NKRL (acronym of Narrative Knowledge Representation Language) to accurately represent this meaning. NKRL is a conceptual modelling language that has a long history of successful, concrete applications.
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Zarri, G.P. (2001). A Conceptual Model for Capturing and Reusing Knowledge in Business-Oriented Domains. In: Roy, R. (eds) Industrial Knowledge Management. Springer, London. https://doi.org/10.1007/978-1-4471-0351-6_3
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DOI: https://doi.org/10.1007/978-1-4471-0351-6_3
Publisher Name: Springer, London
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