Detailed Information

Cited 8 time in webofscience Cited 12 time in scopus
Metadata Downloads

SocioScope: A framework for understanding Internet of Social Knowledge

Authors
Hoang Long NguyenJung, 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.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Software > School of Computer Science and Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Jung, Jason J. photo

Jung, Jason J.
소프트웨어대학 (소프트웨어학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE