Semantic web technologies in pervasive computing: A survey and research roadmap
Autor: | Simon Dobson, Ioannis Kompatsiaris, Georgios Meditskos, Stamatia Dasiopoulou, Juan Ye, Graeme Stevenson, Efstratios Kontopoulos |
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Přispěvatelé: | European Commission, University of St Andrews. School of Computer Science |
Rok vydání: | 2015 |
Předmět: |
QA75
Context-aware pervasive systems Ubiquitous computing Computer Networks and Communications Computer science QA75 Electronic computers. Computer science T-NDAS Service discovery Uncertainty reasoning Social Semantic Web World Wide Web Ontologies Context awareness Pervasive computing Semantic Web business.industry Data stream mining Streaming query Data science Computer Science Applications Hardware and Architecture business Software Strengths and weaknesses Information Systems |
Zdroj: | Pervasive and Mobile Computing. 23:1-25 |
ISSN: | 1574-1192 |
Popis: | This work has been supported by the EU FP7 projects SAPERE: Self-aware Pervasive Service Ecosystems under Contract No. 256873 and Dem@Care: Dementia Ambient Care — Multi-Sensing Monitoring for Intelligent Remote Management and Decision Support under Contract No. 288199. 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. Postprint |
Databáze: | OpenAIRE |
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