Semantic web technologies in pervasive computing: A survey and research roadmap

Citation data:

Pervasive and Mobile Computing, ISSN: 1574-1192, Vol: 23, Page: 1-25

Publication Year:
2015
Usage 71
Abstract Views 60
Link-outs 11
Captures 121
Readers 118
Exports-Saves 3
Citations 24
Citation Indexes 24
DOI:
10.1016/j.pmcj.2014.12.009
Author(s):
Juan Ye; Stamatia Dasiopoulou; Graeme Stevenson; Georgios Meditskos; Efstratios Kontopoulos; Ioannis Kompatsiaris; Simon Dobson
Publisher(s):
Elsevier BV
Tags:
Computer Science; Mathematics
article description
Pervasive and sensor-driven systems are by nature open and extensible, both in terms of input and tasks they are required to perform. Data streams coming from sensors are inherently noisy, imprecise and inaccurate, with differing sampling rates and complex correlations with each other. These characteristics pose a significant challenge for traditional approaches to storing, representing, exchanging, manipulating and programming with sensor data. Semantic Web technologies provide a uniform framework for capturing these properties. Offering powerful representation facilities and reasoning techniques, these technologies are rapidly gaining attention towards facing a range of issues such as data and knowledge modelling, querying, reasoning, service discovery, privacy and provenance. This article reviews the application of the Semantic Web to pervasive and sensor-driven systems with a focus on information modelling and reasoning along with streaming data and uncertainty handling. The strengths and weaknesses of current and projected approaches are analysed and a roadmap is derived for using the Semantic Web as a platform, on which open, standard-based, pervasive, adaptive and sensor-driven systems can be deployed.