Abstract
High quality context information plays a vital role in adapting a system to the rapidly changing situations. However, the diversity of the sources of context information and the characteristics of the computing devices strongly impact the quality of context information in pervasive computing environments. Quality of Context parameters can be used to characterize the quality of context information from different aspects. In this paper, we quantify the Quality of Context parameters to present them in a suitable form for use with the applications in pervasive environments. We also present a mechanism to tailor the Quality of Context parameters according to the needs of an application and then evaluate these parameters. Enrichment of context information with Quality of Context parameters enhances the capabilities of context-aware systems to effectively use the context information to adapt to the emerging situations in pervasive computing environments.
This research is partially supported by the European Union through the FP6-2005-IST-5-034749 project WORKPAD.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Baldauf, M., Dustdar, S., Rosenberg, F.: A survey on context-aware systems. Int. J. Ad Hoc Ubiquitous Comput. 2(4), 263–277 (2007)
Bu, Y., Gu, T., Tao, X., Li, J., Chen, S., Lu, J.: Managing quality of context in pervasive computing. In: QSIC 2006: Proceedings of the Sixth International Conference on Quality Software, Washington, DC, USA, pp. 193–200. IEEE Computer Society, Los Alamitos (2006)
Buchholz, T., Kpper, A., Schiffers, M.: Quality of context: What it is and why we need it. In: Proceedings of the 10th International Workshop of the HP OpenView University Association(HPOVUA), Hewlet-Packard OpenView University Association (2003)
Castro, P., Muntz, R.: Managing context data for smart spaces. Personal Communications, IEEE [see also IEEE Wireless Communications] 7(5), 44–46 (2000)
Chen, G., Kotz, D.: A survey of context-aware mobile computing research. Technical report, Dartmouth College, Hanover, NH, USA (2000)
de Freitas, R., Neto, B., da Graca, M., Pimentel, C.: Toward a domain-independent semantic model for context-aware computing. In: LA-WEB 2005: Proceedings of the Third Latin American Web Congress, Washington, DC, USA. IEEE Computer Society, Los Alamitos (2005)
Dey, A., Abowd, G., Salber, D.: A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications. Human-Computer Interaction 16, 97–166 (2001)
Dey, A., Mankoff, J., Abowd, G., Carter, S.: Distributed mediation of ambiguous context in aware environments. In: UIST 2002: Proceedings of the 15th annual ACM symposium on User interface software and technology, pp. 121–130. ACM, New York (2002)
Dorn, C., Schall, D., Dustdar, S.: Granular context in collaborative mobile environments. In: Meersman, R., Tari, Z., Herrero, P. (eds.) OTM 2006 Workshops. LNCS, vol. 4278, pp. 1904–1913. Springer, Heidelberg (2006)
Intel Mobile Platform Software Development Kit 1.3 – Open Source Project for Windows and Linux (August 11, 2008), http://ossmpsdk.intel.com/
Formayer, H., Frischauf, C.: Extremereignisse und klimawandel in Österreich aus sicht der forschung. Technical report, WWF Austria and Institute of Meteorology, BOKU, Vienna (2004)
Gray, P.D., Salber, D.: Modelling and using sensed context information in the design of interactive applications. In: Nigay, L., Little, M.R. (eds.) EHCI 2001. LNCS, vol. 2254, pp. 317–336. Springer, Heidelberg (2001)
Henricksen, K., Indulska, J.: Modelling and using imperfect context information. In: PERCOMW 2004: Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops, pp. 33–37 (March 2004)
Henricksen, K., Indulska, J., Rakotonirainy, A.: Modeling context information in pervasive computing systems. In: Mattern, F., Naghshineh, M. (eds.) PERVASIVE 2002. LNCS, vol. 2414, pp. 79–117. Springer, Heidelberg (2002)
Honle, N., Kappeler, U.-P., Nicklas, D., Schwarz, T., Grossmann, M.: Benefits of integrating meta data into a context model. In: PERCOMW 2005: Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications Workshops, Washington, DC, USA, pp. 25–29. IEEE Computer Society, Los Alamitos (2005)
Kim, Y., Lee, K.: A quality measurement method of context information in ubiquitous environments. In: ICHIT 2006, pp. 576–581. IEEE Computer Society, Los Alamitos (2006)
Krause, M., Hochstatter, I.: Challenges in modeling and using quality of context (qoc). In: Magedanz, T., Karmouch, A., Pierre, S., Venieris, I.S. (eds.) MATA 2005. LNCS, vol. 3744, pp. 324–333. Springer, Heidelberg (2005)
KSOAP2 (Access Date: August 11, 2008), http://sourceforge.net/projects/ksoap2/
MXQuery (Access Date: August 11, 2008) http://www.dbis.ethz.ch/research/current_projects/MXQuery
Ranganathan, A., Al-Muhtadi, J., Campbell, R.H.: Reasoning about uncertain contexts in pervasive computing environments. Pervasive Computing 3(2), 62–70 (2004)
Razzaque, M.A., Dobson, S., Nixon, P.: Categorization and modeling of quality in context information. In: Proceedings of the IJCAI 2005 Workshop on AI and Autonomic Communications, Edinburgh, Scotland (August 2005)
Schmidt, A.: A layered model for user context management with controlled aging and imperfection handling. In: Roth-Berghofer, T.R., Schulz, S., Leake, D.B. (eds.) MRC 2005. LNCS (LNAI), vol. 3946, pp. 86–100. Springer, Heidelberg (2006)
Sheikh, K., Wegdam, M., van Suinderen, M.: Quality-of-context and its use for protecting privacy in context aware systems. Journal of Software 3, 83–93 (2008)
Tang, S., Yang, J., Wu, Z.: A context quality model for ubiquitous applications. In: IFIP International Conference on Network and Parallel Computing Workshops (NPC), pp. 282–287 (September 2007)
The EU WORKPAD Project, http://www.workpad-project.eu
Truong, H.-L., Juszczyk, L., Bashir, S., Manzoor, A., Dustdar, S.: Vimoware - a toolkit for mobile web services and collaborative computing. In: 34th EUROMICRO Conference on Software Engineering and Advanced Applications (2008)
Truong, H.L., Juszczyk, L., Manzoor, A., Dustdar, S.: Escape - an adaptive framework for managing and providing context information in emergency situations. In: Kortuem, G., Finney, J., Lea, R., Sundramoorthy, V. (eds.) EuroSSC 2007. LNCS, vol. 4793, pp. 207–222. Springer, Heidelberg (2007)
van Bunningen, A.H., Feng, L., Apers, P.M.G.: Context for ubiquitous data management. In: UDM 2005: Proceedings of the International Workshop on Ubiquitous Data Management, Washington, DC, USA, pp. 17–24. IEEE Computer Society Press, Los Alamitos (2005)
Weiser, M.: The computer for the twenty first century. Scientific American 265(3), 94–104 (1991)
Xu, C., Cheung, S.C.: Inconsistency detection and resolution for context-aware middleware support. In: ESEC/FSE-13: Proceedings of the 10th European software engineering conference held jointly with 13th ACM SIGSOFT international symposium on Foundations of software engineering, pp. 336–345. ACM, New York (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Manzoor, A., Truong, HL., Dustdar, S. (2008). On the Evaluation of Quality of Context. In: Roggen, D., Lombriser, C., Tröster, G., Kortuem, G., Havinga, P. (eds) Smart Sensing and Context. EuroSSC 2008. Lecture Notes in Computer Science, vol 5279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88793-5_11
Download citation
DOI: https://doi.org/10.1007/978-3-540-88793-5_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88792-8
Online ISBN: 978-3-540-88793-5
eBook Packages: Computer ScienceComputer Science (R0)