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VizResearch: Linking the Knowledge of People and the People with Knowledge
Author(s) -
Sarah Masud,
Monjura Afrin,
Farhana M. Choudhury,
Syed Ishtiaque Ahmed
Publication year - 2012
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2012.04.156
Subject(s) - computer science , field (mathematics) , world wide web , knowledge management , visualization , data science , human–computer interaction , mathematics , artificial intelligence , pure mathematics
Access to information and interaction with peers are dominant demands of collaborative research. To provide academicians information regarding research papers, peers and events there are some research information repositories overleaping the need of interaction and collaboration. Although the booming growth of social networking sites has already captured huge audience from academic field, research shows existent Social Networking Services (SNSs) are mostly hedonic thus having a superficial contribution to research based interaction. To address this unmet demand, some systems have tailored the concept of SNS to fit research oriented social networking. Though they provide an interactive platform for researchers they lack in information visualization, binding location and time with research and evaluation of research work and related bodies. Hence our solution VizResearch unifies fragmented functionalities across existing platforms and brings all research beneficent features under a single hood

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