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Erschienen in:
2009 | OriginalPaper | Buchkapitel
A Semantically-Based Task Model and Selection Mechanism in Ubiquitous Computing Environments
verfasst von : Angel Jimenez-Molina, Jun-Sung Kim, Hyung-Min Koo, Byung-Seok Kang, In-Young Ko
Erschienen in: Knowledge-Based and Intelligent Information and Engineering Systems
Verlag: Springer Berlin Heidelberg
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User centricity required by ubiquitous computing is about making services and information be prepared and delivered in the perspective of users rather than system elements. Task-oriented computing supports user centricity by representing users’ goals in tasks. It bridges the gap between tasks and available services. This paper proposes a semantically-based generic model for describing tasks in ubiquitous computing environments. This model is used by a task selection algorithm that considers the context information of a user and the surrounding environment. Additionally, this paper proposes a pattern-based task reconfiguration algorithm. The algorithms are illustrated by a demo application conducted in our test bed, and by other examples of tasks selected under diverse situations. Evaluation results show a reasonable time overhead for the task selection algorithm.