Building Models of Installations to Recommend Applications in IoT Software Ecosystems

Research output: Research - peer-reviewArticle in proceedings

DOI

Internet of Things devices are driven by applications. To stimulate innovation on their platforms, manufacturers of embedded products are creating software ecosystems that enable third-parties develop applications for their devices. Since such applications are developed externally, their seamless integration into the platforms is a challenge. In this paper, we propose to use semantic reasoning to select and configure applications in software ecosystems. Our prototype builds a model of the installation and the user goals through several steps. It processes application descriptions created by their developers and matches them to the installation model. Based on the matched descriptions, it presents options to deploy applications in the environment to the user sorted by their relevance. The proposed approach enables resolving complex requirements of applications before their installation in the platform. Our preliminary evaluation shows that the prototype supports the integration of the identified applications.
Original languageEnglish
Title of host publication2016 IEEE 4th International Conference on Future Internet of Things and Cloud (FiCloud)
Number of pages8
PublisherIEEE Press
Publication year22 Aug 2016
Pages9-16
ISBN (Electronic)978-1-5090-4052-0
DOIs
StatePublished - 22 Aug 2016
EventIEEE 4th International Conference on Future Internet of Things and Cloud - Vienna, Austria, Vienna, Austria
Duration: 22 Aug 201624 Aug 2016
Conference number: 4
http://www.ficloud.org/2016/

Conference

ConferenceIEEE 4th International Conference on Future Internet of Things and Cloud
Nummer4
LocationVienna, Austria
LandAustria
ByVienna
Periode22/08/201624/08/2016
Internetadresse

    Research areas

  • reasoning, ecosystem, iot, model

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