title: Internet of Things: A Review of Surveys Based on Context Aware Intelligent Services.
abstract: The Internet of Things (IoT) has made it possible for devices around the world to acquire information and store it, in order to be able to use it at a later stage. However, this potential opportunity is often not exploited because of the excessively big interval between the data collection and the capability to process and analyse it. In this paper, we review the current IoT technologies, approaches and models in order to discover what challenges need to be met to make more sense of data. The main goal of this paper is to review the surveys related to IoT in order to provide well integrated and context aware intelligent services for IoT. Moreover, we present a state-of-the-art of IoT from the context aware perspective that allows the integration of IoT and social networks in the emerging Social Internet of Things (SIoT) term.
authors.affiliation: Department of Computing Technology and Data Processing, University of Alicante, Alicante 03690, Spain. david.gil@ua.es.
authors.forename: David
authors.initials: D
authors.lastname: Gil
authors.affiliation: Department of Software and Computing Systems, University of Alicante, Alicante 03690, Spain. antonio@dlsi.ua.es.
authors.forename: Antonio
authors.initials: A
authors.lastname: Ferrández
authors.affiliation: Department of Computing Technology and Data Processing, University of Alicante, Alicante 03690, Spain. hmora@ua.es.
authors.forename: Higinio
authors.initials: H
authors.lastname: Mora-Mora
authors.affiliation: Department of Software and Computing Systems, University of Alicante, Alicante 03690, Spain. jperal@dlsi.ua.es.
authors.forename: Jesús
authors.initials: J
authors.lastname: Peral
keywords: big data; cloud computing; data mining with big data; internet of things; ontology; semantics; services for big data; social internet of things