Configuration of Smart Environments Made Simple - Combining Visual Modeling with Semantic Metadata and Reasoning
Journal
Proceedings of the 4th International Conference on the Internet of Things (IoT 2014)
Type
book section
Date Issued
2014-10
Author(s)
Abstract (De)
We present an approach that combines semantic metadata and reasoning with a visual modeling tool to enable the goal-driven configuration of smart environments for end users. In contrast to process-driven systems where service mashups are statically defined, this approach makes use of embedded semantic API descriptions to dynamically create mashups that fulfill the user's goal. The main advantage of the presented system is its high degree of flexibility, as service mashups can adapt to dynamic environments and are fault-tolerant with respect to individual services becoming unavailable. To support end users in expressing their goals, we integrated a visual programming tool with our system. This tool enables users to model the desired state of their smart environment graphically and thus hides the technicalities of the underlying semantics and the reasoning. Possible application scenarios of the presented system include the configuration of smart homes to increase individual well-being, and reconfigurations of smart environments, for instance in the industrial automation or healthcare domains.
Language
English
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher place
Cambridge, MA, USA
Event Title
Proceedings of the 4th International Conference on the Internet of Things (IoT 2014)
Subject(s)
Division(s)
Eprints ID
255766
File(s)![Thumbnail Image]()
Name
mayersi-iot-2014.pdf
Size
320.71 KB
Format
Adobe PDF
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