DocumentCode :
3509532
Title :
Ontology driven role based social network.
Author :
Mukta, Md Saddam Hossain ; Hasan, Khandaker Tabin ; Hossain, Md Sazzad
Author_Institution :
Dept. of Comput. Sci. & Eng., Bangladesh Univ. of Bus. & Technol., Dhaka, Bangladesh
fYear :
2012
fDate :
18-19 May 2012
Firstpage :
908
Lastpage :
913
Abstract :
Social network sites (SNS) have made strong position in the heart of millions of users as if it is their own society. Numerous SNS are available on the web and most of them are strongly motivated to interconnect a group of people. These sites suffer too much about theft of personal detail, privacy issues and disclosure of daily activities towards unexpected person. This might be happened for two reasons; first users may disclose personal detail or sites do not have adequate measures to protect this affair. In social network, the way we interact with each other should be just like real social life; intimacy and visualization should differ from level to level. We have developed one abstract solution where each person can expose and exchange his expression with other subject to individual role; we call it role based social network (RBSN) which is unique for using ontology to improve its semantic nature. We have also analyzed some flaws of conventional social networks with their features (e.g. bizarre relation assignment, generic suggestions, and limited privilege to expose heartfelt expression).
Keywords :
data privacy; ontologies (artificial intelligence); social networking (online); RBSN; SNS; World Wide Web; conventional social networks; ontology driven role based social network; personal detail; privacy issues; social life; social network sites; Electronic mail; Ontologies; Pediatrics; Visualization; Disjoint set; OWL; Ontology; Role; Social Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Informatics, Electronics & Vision (ICIEV), 2012 International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4673-1153-3
Type :
conf
DOI :
10.1109/ICIEV.2012.6317432
Filename :
6317432
Link To Document :
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