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LonMaps: An Architecture of a Crime and Accident Mapping System based on News Articles

Authors:
Hideaki Ito

Keywords: crime and accident map; news article; thesaurus; sentence pattern; extraction

Abstract:
LonMaps is an information system for a crime and accident mapping system based on news articles, which enables extraction of certain information items from the news article. To realize the system, four types of information items are extracted, which are crimes/accidents (incidents), places, dates, and personal names. For capturing incidents, a thesaurus consisting of two types of terms, daily and legal terms, is used. Daily terms are used in daily life, while legal terms are used in legal situations. Places, dates, and personal names are extracted on the basis of typical news report patterns. Finally, experiments are performed using LonMaps to evaluate its effectiveness of processing queries and of extracting information items.

Pages: 67 to 72

Copyright: Copyright (c) IARIA, 2014

Publication date: February 23, 2014

Published in: conference

ISSN: 2308-4243

ISBN: 978-1-61208-319-3

Location: Nice, France

Dates: from February 23, 2014 to February 27, 2014