Abstract
Pervasive computing environments need to exhibit highly adaptive behavior to meet the changing personal requirements and operational context of environment. Recently, task computing (TC) paradigm has gained acceptance as the choice computing model for pervasive computing environment. One of the key components of TC is a task model that provides an adequate high-level description of user-oriented tasks. This paper presents a novel context-sensitive task modeling approach capable of supporting complex, user-oriented task definitions, and proposes an algorithm to discover a task and a method to execute it. This work is motivated by the fact that whilst current TC systems allow users to interact with their ambient environments in terms of high level tasks, existing task definitions are still relatively simple, and do not include user-centric and environmental contextual information in the task definition. This paper elaborates the proposed task model through a smart home application example to illustrate steps in context-dependent task modeling, service provisioning and resource organization.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Weiser, M.: Some Computer Science Issues in Ubiquitous Computing. Communication. Communications of the ACM 36(7), 75–84 (1993)
Castro, P., Muntz, R.: Managing Context Data for Smart Spaces. IEEE Personal Communications 7, 44–46 (2000)
Prekop, P., Burnett, M.: Activities, Context and Ubiquitous Computing. Computer Communications 26(11), 1168–1176 (2003)
Heckmann, D.: Introducing Situational Statements as an integrating Data Structure for User Modeling, Context-Awareness and Resource-Adaptive Computing. In: ABIS Workshop on adaptivity and user modeling in interactive software systems (2003)
Tang, T.Y., McCalla, G.: Smart Recommendation for an Evolving E-Learning System. In: AIED 2003, vol. 10, pp. 699–711 (2003)
Jakobsen, C.S., Warthoe, S.: Adaptive Design Implications for Knowledge Organization and Information Retrieval Systems. In: Nord I&D, Knowledge and Change, pp. 58–61 (2004)
Kay, J.: The um toolkit for cooperative user modeling. User Modeling and User-Adapted Interaction 3, 149–196 (1995)
Shareef, A.F., Kinshuk: Student Model for Distance Education System in Maldives. In: Rossett, A. (ed.) Proceedings of E-Learn 2003 (Phoenix, Arizona, USA), Norfolk, VA, USA: November 7-11, 2003, pp. 2435–2438. AACE, Norfolk (2003)
Yu, Z., Zhang, D., Zhou, X.-s., Li, C.: User Preference Learning for Multimedia Personalization in Pervasive Computing Environment. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds.) KES 2005. LNCS, vol. 3682, pp. 236–242. Springer, Heidelberg (2005)
Wang, Z., Garlan, D.: Task-driven computing., Technical Report, NO. CMU-CS-00-154, Carnegie Mellon University (May 2000), http://www-2.cs.cmu.edu/~aura/docdir/wang00.pdf
Masuoka, R., Parsia, B., Labrou, Y.: Task Computing – The Semantic Web Meets Pervasive Computing. In: Fensel, D., Sycara, K.P., Mylopoulos, J. (eds.) ISWC 2003. LNCS, vol. 2870, pp. 866–881. Springer, Heidelberg (2003)
Dey, A.K., Abowd, G.D.: Towards a Better Understanding of Context and Context-Awareness. College of Computing, Georgia Institute of Technology, Atlanta GA USA, Technical Report GIT-GVU-99-22 (1999)
Firby, R.J., Kahn, R.E., Prokopowicz, P.N., Swain, M.J.: An architecture for vision and action. In: Fourteenth International Joint Conference on Artificial Intelligence, pp. 72–81 (1995)
Firby, R.J.: Task networks for controlling continuous processes. In: Proceedings of the Second International Conference on Artificial Intelligence Planning Systems, pp. 49–54 (1994)
Wang, X.H., Zhang, D.Q., Pung, H.K.: Ontology Based Context Modeling and Reasoning using OWL. In: Workshop Proceedings of the 2nd IEEE Conference on Pervasive Computing and Communications (PerCom 2004), pp. 18–22 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ni, H., Zhou, X., Zhang, D., Heng, N.L. (2006). Context-Dependent Task Computing in Pervasive Environment. In: Youn, H.Y., Kim, M., Morikawa, H. (eds) Ubiquitous Computing Systems. UCS 2006. Lecture Notes in Computer Science, vol 4239. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11890348_10
Download citation
DOI: https://doi.org/10.1007/11890348_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46287-3
Online ISBN: 978-3-540-46289-7
eBook Packages: Computer ScienceComputer Science (R0)