Multi-purpose Adaptation in the Web of Things
Publication date
2017-05-04
Document type
Konferenzbeitrag
Author
Organisational unit
Karlsruhe Institute of Technology
Conference
10th International and Interdisciplinary Conference, CONTEXT 2017 : Paris, France, June 20–23, 2017
Publisher
Springer International Publishing
Series or journal
Lecture Notes in Computer Science
ISSN
Periodical volume
10257
Book title
Modeling and Using Context : 10th International and Interdisciplinary Conference, CONTEXT 2017 Paris, France, June 20–23, 2017, Proceedings
First page
213
Last page
226
Part of the university bibliography
Nein
Language
English
Keyword
Multi-purpose adaptation
Semantic reasoning
Web of things
Abstract
Web of Things applications require advanced solutions to provide adaptation to different purposes from common context models. While such models are application-specific, the adaptation itself is based on questions (i.e. concerns) that are orthogonal to application domains. In this paper, we present a generic solution to provide reusable and multi-purpose context-based adaptation for smart environments. We rely on semantic technologies and reason about contextual information to evaluate, at runtime, the pertinence of each adaptation possibility to adaptation questions covering various concerns. We evaluate our solution against a smart agriculture scenario using the ASAWoO platform, and discuss how to design context models and rules from “classical” information sources (e.g. domain experts, device QoS, user preferences). © Springer International Publishing AG 2017.
Cite as
Terdjimi, M., Médini, L., Mrissa, M., Maleshkova, M. (2017). Multi-purpose Adaptation in the Web of Things. In: Brézillon, P., Turner, R., Penco, C. (eds) Modeling and Using Context. CONTEXT 2017. Lecture Notes in Computer Science(), vol 10257. Springer, Cham. https://doi.org/10.1007/978-3-319-57837-8_17
Version
Published version
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