DocumentCode :
2141895
Title :
A latent semantic indexing and WordNet based information retrieval model for digital forensics
Author :
Du, Lan ; Jin, Huidong ; De Vel, Olivier ; Liu, Nianjun
Author_Institution :
NICTA Canberra Lab., Canberra, ACT
fYear :
2008
fDate :
17-20 June 2008
Firstpage :
70
Lastpage :
75
Abstract :
It is well known that either domain specific or domain independent knowledge has been adopted in Information retrieval (IR) to improve the retrieval performance. In this paper, we propose a novel IR model for digital forensics by using latent semantic indexing (LSI) and WordNet as an underlying reference ontology to retrieve suspicious emails according to the semantic meaning of an investigatorpsilas query. Our model incorporates corpus independent knowledge from WordNet and corpus dependent knowledge from LSI into query expansion and reduction; and LSI is also adopted to simulate human meaning based judgement of relatedness between investigatorpsilas queries and emails. We compare the performance of the resulting LSI And WordNet based Information retrieval system (LAWIRS) with other three systems we implement, i.e. the LSI system, the Lucene system and the Lucene system with query expansion. Experimental results on several email datasets demonstrate that for short Boolean queries, LAWIRS can successfully capture their meaning and yield substantial improvements in the overall retrieval performance.
Keywords :
indexing; information retrieval; ontologies (artificial intelligence); security of data; WordNet; digital forensics; information retrieval; latent semantic indexing; reference ontology; Application software; Australia; Digital forensics; Humans; Indexing; Information analysis; Information retrieval; Internet; Large scale integration; Partial response channels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligence and Security Informatics, 2008. ISI 2008. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-2414-6
Electronic_ISBN :
978-1-4244-2415-3
Type :
conf
DOI :
10.1109/ISI.2008.4565032
Filename :
4565032
Link To Document :
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