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From data to actionable knowledge: Big data challenges in the web of things

Barnaghi, P, Sheth, A and Henson, C (2013) From data to actionable knowledge: Big data challenges in the web of things IEEE Intelligent Systems, 28 (6).

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Abstract

Extending the current Internet and providing connection, communication, and internetworking between devices and physical objects, or 'things,' is a growing trend that's often referred to as the Internet of Things (IoT). Integrating real-world data into the Web, with its large repositories of data, and providing Web-based interactions between humans and IoT resources is what the Web of Things (WoT) stands for. Here, the guest editors describe the Big Data issues in the WoT, discuss the challenges of extracting actionable knowledge and insights from raw sensor data, and introduce the theme articles in this special issue. © 2013 IEEE.

Item Type: Article
Authors :
AuthorsEmailORCID
Barnaghi, PUNSPECIFIEDUNSPECIFIED
Sheth, AUNSPECIFIEDUNSPECIFIED
Henson, CUNSPECIFIEDUNSPECIFIED
Date : November 2013
Identification Number : https://doi.org/10.1109/MIS.2013.142
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 15:29
Last Modified : 28 Mar 2017 15:29
URI: http://epubs.surrey.ac.uk/id/eprint/806653

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