Configuration of smart environments made simple combining visual modeling with semantic metadata and reasoning
- Author
- Simon Mayer, Nadine Inhelder, Ruben Verborgh (UGent) , Rik Van de Walle (UGent) and Friedemann Mattern
- Organization
- Abstract
- 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 applications 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.
- Keywords
- WEB-SERVICES
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8503551
- MLA
- Mayer, Simon, et al. “Configuration of Smart Environments Made Simple Combining Visual Modeling with Semantic Metadata and Reasoning.” 2014 INTERNATIONAL CONFERENCE ON THE INTERNET OF THINGS (IOT), IEEE, 2014, pp. 61–66, doi:10.1109/IOT.2014.7030116.
- APA
- Mayer, S., Inhelder, N., Verborgh, R., Van de Walle, R., & Mattern, F. (2014). Configuration of smart environments made simple combining visual modeling with semantic metadata and reasoning. 2014 INTERNATIONAL CONFERENCE ON THE INTERNET OF THINGS (IOT), 61–66. https://doi.org/10.1109/IOT.2014.7030116
- Chicago author-date
- Mayer, Simon, Nadine Inhelder, Ruben Verborgh, Rik Van de Walle, and Friedemann Mattern. 2014. “Configuration of Smart Environments Made Simple Combining Visual Modeling with Semantic Metadata and Reasoning.” In 2014 INTERNATIONAL CONFERENCE ON THE INTERNET OF THINGS (IOT), 61–66. New york: IEEE. https://doi.org/10.1109/IOT.2014.7030116.
- Chicago author-date (all authors)
- Mayer, Simon, Nadine Inhelder, Ruben Verborgh, Rik Van de Walle, and Friedemann Mattern. 2014. “Configuration of Smart Environments Made Simple Combining Visual Modeling with Semantic Metadata and Reasoning.” In 2014 INTERNATIONAL CONFERENCE ON THE INTERNET OF THINGS (IOT), 61–66. New york: IEEE. doi:10.1109/IOT.2014.7030116.
- Vancouver
- 1.Mayer S, Inhelder N, Verborgh R, Van de Walle R, Mattern F. Configuration of smart environments made simple combining visual modeling with semantic metadata and reasoning. In: 2014 INTERNATIONAL CONFERENCE ON THE INTERNET OF THINGS (IOT). New york: IEEE; 2014. p. 61–6.
- IEEE
- [1]S. Mayer, N. Inhelder, R. Verborgh, R. Van de Walle, and F. Mattern, “Configuration of smart environments made simple combining visual modeling with semantic metadata and reasoning,” in 2014 INTERNATIONAL CONFERENCE ON THE INTERNET OF THINGS (IOT), Cambridge, MA, 2014, pp. 61–66.
@inproceedings{8503551,
abstract = {{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 applications 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.}},
author = {{Mayer, Simon and Inhelder, Nadine and Verborgh, Ruben and Van de Walle, Rik and Mattern, Friedemann}},
booktitle = {{2014 INTERNATIONAL CONFERENCE ON THE INTERNET OF THINGS (IOT)}},
isbn = {{978-1-4799-5154-3}},
keywords = {{WEB-SERVICES}},
language = {{eng}},
location = {{Cambridge, MA}},
pages = {{61--66}},
publisher = {{IEEE}},
title = {{Configuration of smart environments made simple combining visual modeling with semantic metadata and reasoning}},
url = {{http://doi.org/10.1109/IOT.2014.7030116}},
year = {{2014}},
}
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