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What is NKRL Inference Rules, Transformations

Handbook of Research on Computational Forensics, Digital Crime, and Investigation: Methods and Solutions
These rules try to ‘adapt’, from a semantic point of view, a query that failed to the contents of the existing knowledge bases. The principle employed consists in using rules to automatically ‘transform’ the original query into one or more different queries that are not strictly ‘equivalent’ but only ‘semantically close’ to the original one.
Published in Chapter:
Conceptual Tools for Dealing with ‘Narrative' Terrorism Information
Gian Piero Zarri (University Paris-Est, France)
DOI: 10.4018/978-1-60566-836-9.ch019
Abstract
In this paper, we evoke first the ubiquity and the importance of the so-called ‘non-fictional narrative’ information, with a particular emphasis on the terrorism- and crime-related data. We show that the usual knowledge representation and ‘ontological’ techniques have difficulties in finding complete solutions for representing and using this type of information. We supply then some details about NKRL, a representation and inferencing environment especially created for an ‘intelligent’ exploitation of narrative information. This description will be integrated with concrete examples to illustrate the use of this conceptual tool in a terrorism context.
Full Text Chapter Download: US $37.50 Add to Cart
More Results
Using Rules in the Narrative Knowledge Representation Language (NKRL) Environment
These rules try to ‘adapt’, from a semantic point of view, a query that failed to the contents of the existing knowledge bases. The principle employed consists in using rules to automatically ‘transform’ the original query into one or more different queries that are not strictly ‘equivalent’ but only ‘semantically close’ to the original one.
Full Text Chapter Download: US $37.50 Add to Cart
These rules try to ‘adapt’, from a semantic point of view, a query that failed to the contents of the existing knowledge bases. The principle employed consists in using rules to automatically ‘transform’ the original query into one or more different queries that are not strictly ‘equivalent’ but only ‘semantically close’ to the original one
Full Text Chapter Download: US $37.50 Add to Cart
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