DocumentCode :
2082547
Title :
Using an ontology to improve search in a terrorism database system
Author :
Gruenwald, Le ; McNutt, Gary ; Mercier, Adrien
Author_Institution :
Sch. of Comput. Sci., Univ. of Oklahom, Norman, OK, USA
fYear :
2003
fDate :
1-5 Sept. 2003
Firstpage :
753
Lastpage :
757
Abstract :
In this paper, we present our implementation of a Terrorism Database System and show how to leverage the expressive power of an ontology to improve search and document retrieval by extending the knowledge base of Oracle Text. We begin with a brief introduction to our Terrorism Database System, now in production. Then we describe the structure of the ontology, the interface for knowledge workers to add/edit/delete the content of the ontology, and the techniques for semi-automatic term generation as well as semantic content resolution when classifying documents.
Keywords :
database management systems; information retrieval; meta data; Oracle text; database; document classification; document retrieval; interface; ontology; search; semantic content resolution; semi-automatic term generation; terrorism database system; Computer science; Database systems; Information retrieval; Intrusion detection; Ontologies; Production systems; Sun; Terrorism; Thesauri; Web server;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database and Expert Systems Applications, 2003. Proceedings. 14th International Workshop on
ISSN :
1529-4188
Print_ISBN :
0-7695-1993-8
Type :
conf
DOI :
10.1109/DEXA.2003.1232111
Filename :
1232111
Link To Document :
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