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

Author

Johny, Olayinka ; Sotiriadis, Stelios ; Asimakopoulou, Eleana ; Bessis, Nik

Author_Institution

Sch. of Comput. & Math., Univ. of Derby, Derby, UK

fYear

2014

Firstpage

439

Lastpage

444

Abstract

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.

Keywords

Big Data; Internet of Things; data integration; graph theory; search engines; Big Data discovery; Big Data integration; Internet of Things; IoT scenarios; interconnected entities; ranking techniques; risk modeling; social graph approach; social search engines; Big data; Collaboration; Data models; Databases; Filtering; Search engines; Social network services; Big data; Data discovery; Data integration; IoT; Risk analysis; Social graphs;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Networking and Collaborative Systems (INCoS), 2014 International Conference on

Print_ISBN

978-1-4799-6386-7

Type

conf

DOI

10.1109/INCoS.2014.26

Filename

7057129