@inproceedings{09fcf37e70c14eacbdfdd9da6329f0bd,
title = "Towards a social graph approach for modeling risks in big data and internet of things (IoT)",
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, Data discovery, Data integration, IoT, Risk analysis, Social graphs",
author = "O. Johny and S. Sotiriadis and E. Asimakopoulou and N. Bessis",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 6th International Conference on Intelligent Networking and Collaborative Systems, IEEE INCoS 2014 ; Conference date: 10-09-2014 Through 12-09-2014",
year = "2015",
month = mar,
day = "9",
doi = "10.1109/INCoS.2014.26",
language = "English",
series = "Proceedings - 2014 International Conference on Intelligent Networking and Collaborative Systems, IEEE INCoS 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "439--444",
editor = "Fatos Xhafa and Mario Koeppen and Francesco Palmieri and Vincenzo Loia and Leonard Barolli",
booktitle = "Proceedings - 2014 International Conference on Intelligent Networking and Collaborative Systems, IEEE INCoS 2014",
address = "United States",
}