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Internal contexts inference system for ubiquitous context-aware applications

Published: 08 November 2010 Publication History

Abstract

Context-awareness allows ubiquitous systems to adapt their services according to the current users' characteristics and the surrounding environment. Most of the context-aware applications found in literature only consider external contexts like location and temperature. However, internal contexts, like feelings and physiological needs, could also be relevant to adaptation decisions. Nevertheless, these contexts are hard to be obtained because, usually, they can not be gathered by physical sensors. In this work it is proposed a system that infers feelings and physiological needs based on the semantic processing of sentences posted in Twitter by the users of ubiquitous context-aware applications. The preliminary qualitative results show that the inference system is accurate when the sentences are well-formed and do not present typos.

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  • (2011)SREngine: An OSGi-based Context-aware inference engine for smart room2011 6th International Conference on Pervasive Computing and Applications10.1109/ICPCA.2011.6106515(267-271)Online publication date: Oct-2011

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cover image ACM Other conferences
iiWAS '10: Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
November 2010
895 pages
ISBN:9781450304214
DOI:10.1145/1967486
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 08 November 2010

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  1. Twitter
  2. inference system
  3. internal contexts

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  • (2011)SREngine: An OSGi-based Context-aware inference engine for smart room2011 6th International Conference on Pervasive Computing and Applications10.1109/ICPCA.2011.6106515(267-271)Online publication date: Oct-2011

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