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What is Binding Occurrences

Handbook of Research on Computational Forensics, Digital Crime, and Investigation: Methods and Solutions
Second order structures used to deal with those ‘connectivity phenomena’ (see above) that arise when several elementary events are connected through causality, goal, indirect speech etc. links. They consist of lists of symbolic labels (ci) of predicative occurrences; the lists are differentiated using specific binding operators like GOAL, CONDITION and CAUSE.
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
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Second order structures used to deal with those ‘connectivity phenomena’ that arise when several elementary events are connected through causality, goal, indirect speech etc. links. They consists of lists of symbolic labels (ci) of predicative occurrences
Full Text Chapter Download: US $37.50 Add to Cart
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