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What is NKRL Inference Rules, Hypotheses

Handbook of Research on Computational Forensics, Digital Crime, and Investigation: Methods and Solutions
They are used to build up automatically ‘reasonable’ connections among the information stored in an NKRL knowledge base according to a number of pre-defined reasoning schemata, e.g., ‘causal’ schemata’.
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
They are used to build up automatically ‘reasonable’ connections among the information stored in an NKRL knowledge base according to a number of pre-defined reasoning schemata, e.g., ‘causal’ schemata’.
Full Text Chapter Download: US $37.50 Add to Cart
They are used to build up automatically ‘reasonable’ connections among the information stored in an NKRL knowledge base according to a number of pre-defined reasoning schemata, e.g., ‘causal’ schemata’
Full Text Chapter Download: US $37.50 Add to Cart
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