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
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;
Conference_Titel :
Information Retrieval & Knowledge Management (CAMP), 2012 International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-1091-8
DOI :
10.1109/InfRKM.2012.6204999