skip to main content
10.1145/1387269.1387292acmconferencesArticle/Chapter ViewAbstractPublication PagesicpsConference Proceedingsconference-collections
research-article

Resolving uncertainty in context integration and abstraction: context integration and abstraction

Published:06 July 2008Publication History

ABSTRACT

Pervasive computing is typically highly sensor-driven, but sensors provide only evidence of fact rather than facts themselves. The uncertainty of sensor data will affect each component in a pervasive computing system, which may decrease the quality of its provided services. We provide a general model to represent semantics of uncertainty in different levels (e.g., sensor, lower-level context and higher-level context). Within our model, fine-grained approaches are applied to evaluate and propagate uncertainties. They will help to resolve the uncertainty in each process of context management so that the effect of uncertainty on system services will be minimised.

References

  1. C. B. Anagnostopoulos, Y. Ntarladimas, and S. Hadjiefthymiades. Situational computing: An innovative architecture with imprecise reasoning. Journal of Systems and Software, 80(12):1993--2014, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. David Ferrández Bell, Juan-Carlos Cano, and Pietro Manzoni. Evaluating Bluetooth performance as the support for context-aware applications. In ICCCN 2003: Proceedings of the 12th International Conference on Computer Communications and Networks, pages 345--350, 20-22 Oct. 2003.Google ScholarGoogle ScholarCross RefCross Ref
  3. Tarak Chaari, Dejene Ejigu, Frédérique Laforest, and Vasile-Marian Scuturici. A comprehensive approach to model and use context for adapting applications in pervasive environments. Journal of Systems and Software, 80(12):1973--1992, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Norman H. Cohen, Hui Lei, Paul Castro, John S. Davis II, and Apratim Purakayastha. Composing pervasive data using iQL. In WMCSA ?02: Proceedings of the Fourth IEEE Workshop on Mobile Computing Systems and Applications, page 94, Washington, DC, USA, 2002. IEEE Computer Society. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Lorcan Coyle, Steve Neely, Gaëtan Rey, Graeme Stevenson, Mark Sullivan, Simon Dobson, and Paddy Nixon. Sensor fusion-based middleware for assisted living. In ICOST?2006: Proceedings of the first International Conference On Smart homes & heath Telematics: "Smart Homes and Beyond", pages 281--288. IOS Press, 2006.Google ScholarGoogle Scholar
  6. Lorcan Coyle, Juan Ye, Emerson Loureiro, Stephen Knox, Simon Dobson, and Paddy Nixon. A proposed approach to evaluate the accuracy of tag-based location systems. In Ubicomp 2007 Workshops Proceedings of the First Workshop on Ubiquitous Systems Evaluation, pages 292 -- 296, Innsbruck Austria, September 2007Google ScholarGoogle Scholar
  7. Waltenegus Dargie. The role of probabilistic schemes in multisensor context-awareness. In Proceedings of Fifth Annual IEEE International Conference on the PerCom Workshops ?07, March 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Anind K. Dey. Understanding and using context. Personal Ubiquitous Computing, 5(1):4--7, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Zhongli Ding and Yun Peng. A probabilistic extension to ontology language OWL. In HICSS ?04: Proceedings of the 37th Annual Hawaii International Conference on System Sciences - Track 4, page 40111.1, Washington, DC, USA, 2004. IEEE Computer Society. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Simon Dobson, Lorcan Coyle, and Paddy Nixon. Hybridising events and knowledge as a basis for building autonomic systems. IEEE TCAAS Letters, 2007. To appear.Google ScholarGoogle Scholar
  11. Philip Gray and Daniel Salber. Modelling and using sensed context information in the design of interactive applications. Lecture Notes in Computer Science, 2254:317--325, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Tao Gu, Hung Keng Pung, and Da Qing Zhang. A Bayesian approach for dealing with uncertain contexts. In Proceedings of the 2nd International Conference on Pervasive Computing. Austrian Computer Society, April 2004.Google ScholarGoogle Scholar
  13. Karen Henricksen and Jadwiga Indulska. Modelling and using imperfect context information. In Proceedings of PERCOM '04 Workshops, pages 33 -- 37, Washington, DC, USA, 2004. IEEE Computer Society. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. James C. Hoffman and Robin R. Murphy. Comparison of Bayesian and Dempster-Shafer theory for sensing: a practitioner's approach. In Proceedings of Neural and Stochastic Methods in Image and Signal Processing II, Vol. 2032, pages 266--279, October 1993.Google ScholarGoogle Scholar
  15. Stephen Knox, Adrian K. Clear, Ross Shannon, Lorcan Coyle, Simon Dobson, Aaron Quigley, and Paddy Nixon. Towards scatterbox: a context-aware message forwarding platform. In MRC 2007: Fourth International Workshop on Modeling and Reasoning in Context, pages 13--24, August 2007.Google ScholarGoogle Scholar
  16. Hui Lei, Daby M. Sow, II John S. Davis, Guruduth Banavar, and Maria R. Ebling. The design and applications of a context service. SIGMOBILE Mob. Computing Communication Review, 6(4):45--55, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Seng Wai Loke. Logic programming for context-aware pervasive computing: Language support, characterizing situations, and integration with the web. In WI 2004: Proceedings of 2004 IEEE/WIC/ACM International Conference on Web Intelligence, pages 44--50, Beijing, China, September 2004. IEEE Computer Society. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Amir Padovitz, Seng W. Loke, Arkady Zaslavsky, Claudio Bartolini, and Bernard Burg. An approach to data fusion for context-awareness. In Proceedings of the 5th International Conference on Modeling and Using Context: LNAI 3554, pages 353--367, Paris, July 2005. Springer Berlin / Heidelberg. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Anand Ranganathan, Jalal Al-Muhtadi, and Roy H. Campbell. Reasoning about uncertain contexts in pervasive computing environments. IEEE Pervasive Computing, 03(2):62--70, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Anand Ranganathan, Jalal Al-Muhtadi, Shiva Chetan, Roy Campbell, and M. Dennis Mickunas. Middlewhere: a middleware for location awareness in ubiquitous computing applications. In Proceedings of Middleware '04, pages 397--416, New York, USA, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Philippe Smets and Robert Kennes. The transferable belief model. Artificial Intelligence, 66(2):191--234, 1994. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Binh An Truong, Young-Koo Lee, and Sung-Young Lee. Modeling uncertainty in context-aware computing. In ICIS ?05: Proceedings of the Fourth Annual ACIS International Conference on Computer and Information Science, pages 676--681, Washington, DC, USA, 2005. IEEE Computer Society. Google ScholarGoogle Scholar
  23. Xiaohang Wang, Jin Song Dong, Chung Yau Chin, Sanka Ravipriya Hettiarachchi, and Daqing Zhang. Semantic Space: an infrastructure for smart spaces. IEEE Pervasive Computing, 3(3):32--39, July?September 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Norbert Weisenberg, Rüdiger Gartmann, and Agnès Voisard. An ontology-based approach to personalized situation-aware mobile service supply. Geoinformatica, 10(1):55--90, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Huadong Wu, Mel Siegel, Rainer Stiefelhagen, and Jie Yang. Sensor fusion using dempster-shafer theory. In Proceedings of IEEE Instrumentation and Measurement Technology Conference, Anchorage, AK, USA, May 21-23, 2002, May 2002.Google ScholarGoogle Scholar
  26. Juan Ye, Lorcan Coyle, Simon Dobson, and Paddy Nixon. Ontology-based models in pervasive computing systems. The Knowledge Engineering Review, 22(04):315--347, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Juan Ye, Lorcan Coyle, Simon Dobson, and Paddy Nixon. A unified semantics space model. In Jeffrey Hightower, Bernt Schiele, and Thomas Strang, editors, Location- and Context-Awareness, volume 4718 of LNCS, pages 103--120. Springer, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Juan Ye, Lorcan Coyle, Simon Dobson, and Paddy Nixon. Using situation lattices to model and reason about context. In Proceedings of MRC 2007 (coexist with CONTEXT'07), pages 1--12, Roskilde, Denmark, August 2007.Google ScholarGoogle Scholar
  29. Juan Ye, Lorcan Coyle, Simon Dobson, and Paddy Nixon. Representing and manipulating situation hierarchies using situation lattices. Revue d'Intelligence Artificielle, 2008. To appear.Google ScholarGoogle Scholar

Index Terms

  1. Resolving uncertainty in context integration and abstraction: context integration and abstraction

          Recommendations

          Comments

          Login options

          Check if you have access through your login credentials or your institution to get full access on this article.

          Sign in
          • Published in

            cover image ACM Conferences
            ICPS '08: Proceedings of the 5th international conference on Pervasive services
            July 2008
            202 pages
            ISBN:9781605581354
            DOI:10.1145/1387269

            Copyright © 2008 ACM

            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]

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 6 July 2008

            Permissions

            Request permissions about this article.

            Request Permissions

            Check for updates

            Qualifiers

            • research-article

            Acceptance Rates

            Overall Acceptance Rate23of34submissions,68%

          PDF Format

          View or Download as a PDF file.

          PDF

          eReader

          View online with eReader.

          eReader