Title :
Natural Language Processing based on Semantic inferentialism for extracting crime information from text
Author :
Pinheiro, Vládia ; Furtado, Vasco ; Pequeno, Tarcisio ; Nogueira, Douglas
Author_Institution :
Dept. de Cienc. da Computaco, Fed. Univ. of Ceara (UFC), Fortaleza, Brazil
Abstract :
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.
Keywords :
Collaboration; Computer architecture; Computer crime; Data mining; Information analysis; Information resources; Natural language processing; Natural languages; Safety; Service oriented architecture; Crime Information; Information Extraction; Natural Language Processing;
Conference_Titel :
Intelligence and Security Informatics (ISI), 2010 IEEE International Conference on
Conference_Location :
Vancouver, BC, Canada
Print_ISBN :
978-1-4244-6444-9
DOI :
10.1109/ISI.2010.5484783
