Pervasive maps: Explore and interact with pervasive environments

Vanderhulst, Geert; Luyten, Kris; Coninx, Karin

doi:10.1109/percom.2010.5466973

Cited by 9 publications

(2 citation statements)

References 16 publications

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“…An excellent overview of different approaches to end-user mashup development is provided in [9] that also presents a "User Assisted Composition" tool that uses semantic technologies to assist users in assembling individual services. Systems such as homeBLOX [8] or Pervasive Maps [15] also allow users to configure their smart homes via a graphical editor, the former using a metaphor of stacking blocks to create composite services and the latter with the help of pictures of devices instead of icons. Earlier commercial projects in this domain include Yahoo!…”

Section: Discussionmentioning

confidence: 99%

Configuration of smart environments made simple: Combining visual modeling with semantic metadata and reasoning

Mayer

Inhelder

Verborgh

et al. 2014

2014 International Conference on the Internet of Things (IOT)

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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.

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Section: Discussionmentioning

confidence: 99%

Configuration of smart environments made simple: Combining visual modeling with semantic metadata and reasoning

Mayer

Inhelder

Verborgh

et al. 2014

2014 International Conference on the Internet of Things (IOT)

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“…1 Many mashup editors from academia and almost all prominent tools used for service composition in business environments feature visual composition interfaces to make them usable by mashup designers without programming skills [7]. Visual programming abstractions have also been applied in the context of facilitating the configuration of smart environments for end users in home automation scenarios: for instance, end users can stack blocks that represent individual services [10] or connect pictures of smart objects to describe the desired composite functionality [12]. Specifically for IoT scenarios, the ClickScript [13] visual programming language has been extended to handle smart things in the WoT [1].…”

Section: A Semi-automatic Service Composition Systemsmentioning

confidence: 99%

Smart Configuration of Smart Environments

Mayer

Verborgh

Kovatsch

et al. 2016

IEEE Trans. Automat. Sci. Eng.

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One of the central research challenges in the Internet of Things and Ubiquitous Computing domains is how users can be enabled to "program" their personal and industrial smart environments by combining services that are provided by devices around them. We present a service composition system that enables the goal-driven configuration of smart environments for end users by combining semantic metadata and reasoning with a visual modeling tool. In contrast to process-driven approaches where service mashups are statically defined, we make use of embedded semantic API descriptions to dynamically create mashups that fulfill the user's goal. The main advantage of our 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 users in expressing their goals, we integrated a visual programming tool with our system that allows to model the desired state of a smart environment graphically, thereby hiding the technicalities of the underlying semantics. Possible applications of the presented system include the management of smart homes to increase individual well-being, and reconfigurations of smart environments, for instance in the industrial automation or healthcare domains. Note to Practitioners-Machine tooling times are an important factor especially when producing small batch sizes. Our approach holds the potential to have manufacturing lines reconfigure themselves at runtime, based on descriptions of the functionality of individual devices. It can even consider properties that influence the process indirectly ("nonfunctional"), such as the time or monetary cost of a process. We additionally implemented a system that makes these rather complex descriptions understandable for nonspecialists. In this paper, we describe use cases from the home automation and future manufacturing domains.

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