A Semantically-Based Task Model and Selection Mechanism in Ubiquitous Computing Environments

Authors:
Angel Jimenez-Molina;Jun-Sung Kim;Hyung-Min Koo;Byung-Seok Kang;In-Young Ko
Affiliations:
Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea;Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea;Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea;Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea;Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
Venue:
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Year:
2009

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Abstract

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.