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Automated extraction and characterisation of social network data from unstructured sources -- an ontology-based approach / Étienne Martineau and Régine Lecocq.D69-32/2014E-PDF

"This document explains how the SNAC project tries to address some of the issues mentioned above. First, the SNAC project and the services from the ISTIP platform used by the prototype are introduced. Second, ontology and text-based templates relied upon for data extraction (a priory knowledge) that are defined. This will set the basis to understand how the automatic extraction system and the associate's services were developed. Finally, the conclusion will address results and issues before discussing future works"--Introduction.

Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.830203&sl=0

Publication information
Department/Agency
  • Defence R&D Canada.
TitleAutomated extraction and characterisation of social network data from unstructured sources -- an ontology-based approach / Étienne Martineau and Régine Lecocq.
Publication typeMonograph
Language[English]
FormatDigital text
Electronic document
Note(s)
  • "Topic 3: Data, Information and Knowledge."
  • Includes bibliographic references.
Publishing information
  • [Ottawa] : Defence Research and Development Canada, [2014]
Author / Contributor
  • Martineau, Étienne, 1976-
  • Lecocq, Régine.
Description1 vol. (unnumbered) : ill.
Catalogue number
  • D69-32/2014E-PDF
Departmental catalogue numberDRDC-RDDC-2014-P5
Subject terms
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