Meta-Information as a Service: A Big Social Data Analysis Framework

Zhang, X, Ali, K, Hamilton, M and Thevathayan, C 2018, 'Meta-Information as a Service: A Big Social Data Analysis Framework', in PACIS 2018 Proceedings, Yokohama, Japan, 26-30 June 2018, pp. 1-12.


Document type: Conference Paper
Collection: Conference Papers

Title Meta-Information as a Service: A Big Social Data Analysis Framework
Author(s) Zhang, X
Ali, K
Hamilton, M
Thevathayan, C
Year 2018
Conference name 22nd Pacific Asia Conference on Information Systems (PACIS), Japan 2018
Conference location Yokohama, Japan
Conference dates 26-30 June 2018
Proceedings title PACIS 2018 Proceedings
Publisher Association for Information Systems
Place of publication United States
Start page 1
End page 12
Total pages 12
Abstract Social information services generate a large amount of data. Traditional social information service analysis techniques first require the large data to be stored, and afterwards processed and analyzed. However, as the size of the data grows the storing and processing cost increases. In this paper, we propose a 'Meta-Information as a Service' (MIaaS) framework that extracts the data from various social information services and transforms into useful information. The framework provides a new formal model to present the services required for social information service data analysis. An efficient data model to store and access the information. We also propose a new Quality of Service (QoS) model to capture the dynamic features of social information services. We use social information service based sentiment analysis as a motivating scenario. Experiments are conducted on real dataset. The preliminary results prove the feasibility of the proposed approach.
Subjects Information Systems Management
Keyword(s) Social Information Services
Big Social Data
Sentiment Analysis
Meta- Information
Service Composition
Copyright notice © PACIS 2018
ISBN 9784902590838
Versions
Version Filter Type
Access Statistics: 25 Abstract Views  -  Detailed Statistics
Created: Thu, 27 Jun 2019, 10:20:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us