SocioScope: A framework for understanding Internet of Social Knowledge
- Authors
- Hoang Long Nguyen; Jung, Jai E.
- Issue Date
- Jun-2018
- Publisher
- ELSEVIER SCIENCE BV
- Keywords
- SocioScope; Internet of Social Knowledge; Integrated framework
- Citation
- FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, v.83, pp 358 - 365
- Pages
- 8
- Journal Title
- FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
- Volume
- 83
- Start Page
- 358
- End Page
- 365
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/2078
- DOI
- 10.1016/j.future.2018.01.064
- ISSN
- 0167-739X
1872-7115
- Abstract
- Social data is one of important material for representing social activities. However, efficiently collecting social data from multiple sources is extremely hard due its big-data attributes. Moreover, discovering hidden patterns between social data to understand our society is actually a big challenge. Especially, knowledge around us is not stable but dynamically change over time, therefore, we need to refresh it promptly. SocioScope is created as an automatically tool to overcome aforementioned problems. In addition, other researchers can utilize SocioScope as a framework for reducing their effort time with essential tasks (i.e., collecting data, pre-processing data, and analyzing data). (C) 2018 Elsevier B.V. All rights reserved.
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Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
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