DocumentCode
2167691
Title
Information retrieval model: A social network extraction perspective
Author
Nasution, M.K.M. ; Noah, S.A.
Author_Institution
Knowledge Technol. Res. Group, Univ. Kebangsaan Malaysia, Bangi, Malaysia
fYear
2012
fDate
13-15 March 2012
Firstpage
322
Lastpage
326
Abstract
Future Information Retrieval, especially in connection with the internet, will incorporate the content descriptions that are generated with social network extraction technologies and preferably incorporate the probability theory for assigning the semantic. Although there is an increasing interest about social network extraction, but a little of them has a significant impact to information retrieval. Therefore this paper proposes a model of information retrieval from the social network extraction.
Keywords
Internet; information retrieval; probability; social networking (online); Internet; content descriptions; information retrieval model; probability theory; semantic assignment; social network extraction; Data mining; Imaging; Semantics; Social network services; Uncertainty; Web pages; Jaccard coefficient; doubleton event; imaging; logic; probability; singleton event; space of event; space of relation;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Retrieval & Knowledge Management (CAMP), 2012 International Conference on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4673-1091-8
Type
conf
DOI
10.1109/InfRKM.2012.6204999
Filename
6204999
Link To Document