DocumentCode :
1757306
Title :
From Data to Actionable Knowledge: Big Data Challenges in the Web of Things [Guest Editors´ Introduction]
Author :
Barnaghi, Payam ; Sheth, Amit ; Henson, Cory
Author_Institution :
University of Surrey
Volume :
28
Issue :
6
fYear :
2013
fDate :
Nov.-Dec. 2013
Firstpage :
6
Lastpage :
11
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.
Keywords :
Big Data; Internet of Things; Knowledge management; Special issues and sections; Web and internet services; Big Data; Internet of Things; IoT; Web of Things; WoT; intelligent systems; internetworking;
fLanguage :
English
Journal_Title :
Intelligent Systems, IEEE
Publisher :
ieee
ISSN :
1541-1672
Type :
jour
DOI :
10.1109/MIS.2013.142
Filename :
6733221
Link To Document :
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