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The NKRL Info Page

From a technical point of view, the most important innovation of NKRL (Narrative Knowledge representation Language) with respect to similar knowledge representation tools (KRL, Conceptual Graphs, ...) consists in the addition of an ontology of events (a catalogue of standard, formalised representation of characteristic situations and events) to the usual ontology of concepts.

NKRL, developed at CNRS (the French National Centre for Scientific Research) by G.P. Zarri, has already been used as "official" knowledge representation vehicle in projects like Nomos (Esprit P5330) and Cobalt (LRE P61011), and in WebLearning, a distance-learning project partially financed in the framework of the scientific collaboration between France and Italy (GALILEO Actions). It has been recently used in the Concerto project (Esprit P29159) to encode the conceptual annotations that will be added to Web documents to facilitate their "intelligent" retrieval, processing, displaying, etc.

For further information on NKRL :

A Conceptual Model for Representing Narratives, by G.P. Zarri :
A description the main properties of NKRL (Narrative Knowledge Representation Language), a language expressly designed for representing, in a standardised way, the semantic content of narrative documents,).
[Preliminary and provisional version of a paper accepted for the volume Innovation in Knowledge Engineering, Faucher, C., Jain, L., and Ichalkaranje, N., eds Berlin: Physica-Verlag]
pdf version

Representation of Temporal Knowledge in Events : the formalism, and its potential for legal narratives :
A (slightly) modified and updated version of a paper that originally appeared in Information & Communication Technology Law - Special Issue on Models of Time, Action, and Situations, 1998(7).

pdf version

NKRL, a knowledge representation tool for encoding the ‘meaning’ of complex narrative texts :
A (slightly) modified and updated version of a paper that originally appeared in Natural Language Engineering - Special Issue on Knowledge Representation for Natural Language Processing in Implemented Systems, 1997(3).
pdf version