DocumentCode
2643440
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
fYear
2010
fDate
23-26 May 2010
Firstpage
19
Lastpage
24
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligence and Security Informatics (ISI), 2010 IEEE International Conference on
Conference_Location
Vancouver, BC, Canada
Print_ISBN
978-1-4244-6444-9
Type
conf
DOI
10.1109/ISI.2010.5484783
Filename
5484783
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