DocumentCode :
2919591
Title :
Text Extraction of Spatial and Temporal Information
Author :
Badia, Antonio ; Ravishankar, Jothi ; Muezzinoglu, Tulay
Author_Institution :
Louisville Univ., Louisville
fYear :
2007
fDate :
23-24 May 2007
Firstpage :
381
Lastpage :
381
Abstract :
Natural language analysis tools are very important for Intelligence tasks, since a considerable amount of information is available in documents of various types. The recent increase on use of open source (OSINT) has made documents even more abundant. Intelligence analysts require tools to help inspect, classify and analyze all this raw data. Situating documents (that is, finding their temporal and spatial coordinates) is vital to put events in the proper geo-strategical context; this in turn is an important part of the complex task of interpreting such events. Such information can help analysts relate events. In our project, we analyze documents at the sentence level. Each sentence is translated to a recursive structure anchored by a triple subject-action-object.
Keywords :
information retrieval; natural languages; text analysis; document analysis; geo-strategical context; natural language analysis tools; sentence translation; spatial-temporal reasoning; text extraction; triple subject-action-object; Calendars; Cities and towns; Computer science; Data mining; Humans; Information analysis; Joining processes; Natural languages; Radio access networks; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligence and Security Informatics, 2007 IEEE
Conference_Location :
New Brunswick, NJ
Electronic_ISBN :
1-4244-1329-X
Type :
conf
DOI :
10.1109/ISI.2007.379527
Filename :
4258741
Link To Document :
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