About: Modelling Contextual Data for Smart Environments. Case Study of a System to Support Mountain Rescuers

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Modelling Contextual Data for Smart Environments. Case Study of a System to Support Mountain Rescuers
Creator	Law Klimek, Rados
Source	PMC
abstract	Context-aware pervasive systems are complex, due to the need to gather detailed environmental information and to perform a variety of context reasoning processes in order to adapt behaviours accordingly. These operations are merged seamlessly. We show the feasibility and vitality of a fully designed system for mountain rescue operations, with various aspects of the contextual processing in middleware, as well as analyse its context life cycle. The system is verified through intensive experiments with a rich set of categorised context data. The contextual processing is shown in different weather scenarios. The service is geared towards software development, converging IoT (Internet of Things) and cloud computing with specific reference to smart application scenarios.
has issue date	2020-05-25(xsd:dateTime)
bibo:doi	10.1007/978-3-030-50426-7_21
has license	no-cc
sha1sum (hex)	aa8e8c44f5db676c0b0c9f6d0934437f17fe3e35
schema:url	https://doi.org/10.1007/978-3-030-50426-7_21
resource representing a document's title	Modelling Contextual Data for Smart Environments. Case Study of a System to Support Mountain Rescuers
has PubMed Central identifier	PMC7302820
schema:publication	Computational Science - ICCS 2020
resource representing a document's body	covid:aa8e8c44f5db676c0b0c9f6d0934437f17fe3e35#body_text
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