Towards a Social Graph Approach for Modeling Risks in Big Data and Internet of Things (IoT)

The discovery and integration of big data and Internet of Things (IoTs) highlight new challenges in the area of risks. This work focuses on the analysis of literature review approaches by presenting a study that includes works for resource discovery and data integration, social search engines, ranki...

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Bibliographic Details
Published in:	2014 International Conference on Intelligent Networking and Collaborative Systems pp. 439 - 444
Main Authors:	Johny, Olayinka, Sotiriadis, Stelios, Asimakopoulou, Eleana, Bessis, Nik
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-09-2014
Subjects:	Big data Collaboration Data discovery Data integration Data models Filtering IoT Risk analysis Search engines Social graphs Social network services
Online Access:	Get full text
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Summary:	The discovery and integration of big data and Internet of Things (IoTs) highlight new challenges in the area of risks. This work focuses on the analysis of literature review approaches by presenting a study that includes works for resource discovery and data integration, social search engines, ranking techniques, and social graphs in order to provide a cross comparison and a preliminary evaluation study. The approaches are analyzed in order to define theoretical key requirements that could enable the utilization of social graphs towards the discovery and modeling of interconnected entities in big data and IoT scenarios.
DOI:	10.1109/INCoS.2014.26