By Topic

Natural Language Processing based on Semantic inferentialism for extracting crime information from text

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Vládia Pinheiro ; Departamento de Ciências da Computaço, Federal University of Ceará (UFC), Fortaleza, Brazil ; Vasco Furtado ; Tarcisio Pequeno ; Douglas Nogueira

This article describes an architecture for Information Extraction systems on the web, based on Natural Language Processing (NLP) and especially geared toward the exploration of information about crime. The main feature of the architecture is its NLP module, which is based on the Semantic Inferential Model. We demonstrate the feasibility of the architecture through the implementation thereof to provide input for a collaborative web-based system of registering crimes called WikiCrimes.

Published in:

Intelligence and Security Informatics (ISI), 2010 IEEE International Conference on

Date of Conference:

23-26 May 2010