Article

Challenges in modelling and using quality of context (qoc)

Authors:

Michael Krause,

Iris HochstatterAuthors Info & Claims

MATA'05: Proceedings of the Second international conference on Mobility Aware Technologies and Applications

Pages 324 - 333

https://doi.org/10.1007/11569510_31

Published: 17 October 2005 Publication History

Publisher Site

Abstract

Context-awareness in the vision of Ubiquitous Computing implies more than just the integration of sensor data into applications. It promises vast benefits from automated sharing and combining of knowledge about current situations. We emphasize the necessity of quality of context (QoC) to enable and improve the automatic rating and processing of context information. We derive requirements for handling and modelling of QoC by analyzing the context provisioning process and show that existing integrations of QoC into context models are not adequate. And we concretize our understanding of QoC by distinguishing between information-inherent QoC and application-dependent considerations.

References

[1]

Dey, A.K., Salber, D., Abowd, G.D.: A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications. Human-Computer Interaction (HCI) Journal 16 (2-4) (2001) 97-166.

Digital Library

Google Scholar

[2]

Dey, A.K., Mankoff, J., Abowd, G.D., Carter, S.: Distributed mediation of ambiguous context in aware environments. In: Proceedings of the 15th Annual Symposium on User Interface Software and Technology (UIST), Paris, France (2002) 121-130.

Digital Library

Google Scholar

[3]

Henricksen, K., Indulska, J., Rakotonirainy, A.: Modeling context information in pervasive computing systems. In Mattern, F., Naghsineh, M., eds.: First International Conference on Pervasive Computing (Pervasive). Number 2414 in Lecture Notes in Computer Science, Zurich, Switzerland, Springer (2002) 167-180.

Digital Library

Google Scholar

[4]

Indulska, J., Robinson, R., Rakotonirainy, A., Henricksen, K.: Experiences in using cc/pp in context-aware systems. In: 4th International Conference on Mobile Data Management (MDM). Number 2515 in Lecture Notes in Computer Science, Melbourne, Australia, Springer (2003) 247-261.

Digital Library

Google Scholar

[5]

Hegering, H.G., Küpper, A., Linnhoff-Popien, C., Reiser, H.: Management challenges of context-aware services in ubiquitous computing environments. In Brunner, M., Keller, A., eds.: Self-Management Systems: 14th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management (DSOM). Number 2867 in Lecture Notes in Computer Science, Heidelberg, Germany, Springer (2003) 246-259.

Google Scholar

[6]

Hochstatter, I., Krause, M.: Strategies for on-the-fly composition of context information services. In: Proceedings of the 11th International Workshop of the HP OpenView University Association (HPOVUA). Volume 2004., Paris, France (2004).

Google Scholar

[7]

Buchholz, T., Küpper, A., Schiffers, M.: Quality of context information: What it is and why we need it. In: Proceedings of the 10th International Workshop of the HP OpenView University Association (HPOVUA). Volume 2003., Geneva, Switzerland, Hewlett-Packard OpenView University Association (2003).

Google Scholar

[8]

Fuchs, F., Hochstatter, I., Krause, M.: A metamodel approach to context information. In: Proceedings of the 3rd International Conference on Pervasive Computing and Communications (PerCom) Workshop, IEEE Computer Society (2005).

Digital Library

Google Scholar

[9]

Hönle, N., Nicklas, U.P.K.D., Schwarz, T., Grossmann, M.: Benefits of integrating meta data into a context model. In: Third IEEE Conference on Pervasive Computing and Communications Workshops - Workshop on Context Modeling and Reasoning (CoMoRea), Kauai Island, Hawaii, USA (2005).

Digital Library

Google Scholar

[10]

Gu, T., Wang, X.H., Pung, H.K., Zhang, D.Q.: An ontology-based context model in intelligent environments. In: Proceedings of Communication Networks and Distributed Systems Modeling and Simulation Conference, San Diego, USA (2004).

Google Scholar

[11]

Strang, T., Linnhoff-Popien, C., Frank, K.: Cool: A context ontology language to enable contextual interoperability. In Stefani, J.B., Demeure, I., Hagimont, D., eds.: 4th IFIP International Conference on Distributed Applications and Interoperable Systems (DAIS). Number 2893 in Lecture Notes in Computer Science, International Federation for Information Processing (IFIP), Springer (2003) 236-247.

Google Scholar

[12]

Henricksen, K., Indulska, J.: Modelling and using imperfect context information. In: Second IEEE Annual Conference on Pervasive Computing and Communications Workshops, Orlando, Florida (2004).

Digital Library

Google Scholar

Cited By

View all

Weerasinghe SZaslavsky ALoke SMedvedev AAbken AHassani AHuang G(2024)Reinforcement Learning Based Approaches to Adaptive Context Caching in Distributed Context Management SystemsACM Transactions on Internet of Things10.1145/36485715:2(1-32)Online publication date: 16-Feb-2024
https://dl.acm.org/doi/10.1145/3648571
Badidi EAtif YSheng QMaheswaran M(2019)On personalized cloud service provisioning for mobile users using adaptive and context-aware service compositionComputing10.1007/s00607-018-0631-8101:4(291-318)Online publication date: 1-Apr-2019
https://dl.acm.org/doi/10.1007/s00607-018-0631-8
(2017)MAROQInternational Journal of Grid and Utility Computing10.1504/IJGUC.2017.0859188:2(82-93)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1504/IJGUC.2017.085918
Show More Cited By

Recommendations

Quality of Context for VANETs: QoC Metrics for Connectivity in VANETs
Ad-Hoc, Mobile, and Wireless Networks
Abstract
Context describes the status of a system and of the environment in which it operates. In context-aware systems, contextual information is obtained by monitoring the environment with various sensors. Applied to a vehicular network, the context ...
A Context Quality Model for Ubiquitous Applications
NPC '07: Proceedings of the 2007 IFIP International Conference on Network and Parallel Computing Workshops

Quality of Context (QoC) is critical in context reasoning, context refining, security policy configuring, etc. Many researches have been presented to model context and its quality by quantifying QoC-parameters. However, these quality models emphasis on ...
Context modeling and inference system for heterogeneous context aware service
Proceedings of the 2007 conference on Human interface: Part II

Context can be utilized as an effective source of information for supporting the user system interface under the ubiquitous environments. The context awareness function forms the basis of the studies regarding the ubiquitous computing environment for ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

MATA'05: Proceedings of the Second international conference on Mobility Aware Technologies and Applications

October 2005

417 pages

ISBN:3540294104

Editors:
Thomas Magedanz
FOKUS Fraunhofer-Institute for Open Communication Systems, Kaiserin-Augusta-Allee 31, Berlin, Germany
,
Ahmed Karmouch
Multimedia & Mobile Agent Research Laboratory, School of Information Technology & Engineering (SITE), University of Ottawa, Canada, 161 Louis Pasteur St. Ottawa, Berlin, ON, Canada
,
Samuel Pierre
Mobile Computing and Networking Research Laboratory, (LARIM), Department of Computer Engineering, École Polytechnique de Montréal, Station Centre-ville, Montréal, Québec, Canada
,
Iakovos Venieris
School of Electrical and Computer Engineering, National Technical University of Athens, Station Centre-ville, Montréal, Québec, Canada

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 17 October 2005

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

14
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 29 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Weerasinghe SZaslavsky ALoke SMedvedev AAbken AHassani AHuang G(2024)Reinforcement Learning Based Approaches to Adaptive Context Caching in Distributed Context Management SystemsACM Transactions on Internet of Things10.1145/36485715:2(1-32)Online publication date: 16-Feb-2024
https://dl.acm.org/doi/10.1145/3648571
Badidi EAtif YSheng QMaheswaran M(2019)On personalized cloud service provisioning for mobile users using adaptive and context-aware service compositionComputing10.1007/s00607-018-0631-8101:4(291-318)Online publication date: 1-Apr-2019
https://dl.acm.org/doi/10.1007/s00607-018-0631-8
(2017)MAROQInternational Journal of Grid and Utility Computing10.1504/IJGUC.2017.0859188:2(82-93)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1504/IJGUC.2017.085918
Wibisono WNuryanto MIjtihadie RAhmad TAnggoro RGu TKotagiri RLiu H(2017)A Mobile Crowdsensing Framework for Integrating Smartphone and IoT Devices to Cloud Computing ServicesProceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services10.1145/3144457.3145506(482-487)Online publication date: 7-Nov-2017
https://dl.acm.org/doi/10.1145/3144457.3145506
Gosman CCornea TDobre CPop FCastiglione A(2016)Putting the User in Control of the Intelligent Transportation SystemProceedings, Part I, of the 21st Australasian Conference on Information Security and Privacy - Volume 972210.1007/978-3-319-40253-6_14(231-246)Online publication date: 4-Jul-2016
https://dl.acm.org/doi/10.1007/978-3-319-40253-6_14
Chabridon SConan DAbid ZTaconet C(2013)Building ubiquitous QoC-aware applications through model-driven software engineeringScience of Computer Programming10.1016/j.scico.2012.07.01978:10(1912-1929)Online publication date: 1-Oct-2013
https://dl.acm.org/doi/10.1016/j.scico.2012.07.019
O’Donoghue JHerbert J(2012)Data Management within mHealth EnvironmentsJournal of Data and Information Quality10.1145/2378016.23780214:1(1-20)Online publication date: 1-Oct-2012
https://dl.acm.org/doi/10.1145/2378016.2378021
Bellavista PCorradi AFanelli MFoschini L(2012)A survey of context data distribution for mobile ubiquitous systemsACM Computing Surveys10.1145/2333112.233311944:4(1-45)Online publication date: 7-Sep-2012
https://dl.acm.org/doi/10.1145/2333112.2333119
Villegas NMüller H(2010)Managing dynamic context to optimize smart interactions and servicesThe smart internet10.5555/1986637.1986658(289-318)Online publication date: 1-Jan-2010
https://dl.acm.org/doi/10.5555/1986637.1986658
Villegas NMüller H(2010)Managing dynamic context to optimize smart interactions and servicesThe smart internet10.5555/1980659.1980680(289-318)Online publication date: 1-Jan-2010
https://dl.acm.org/doi/10.5555/1980659.1980680
Show More Cited By

Abstract

References

Cited By

Recommendations

Quality of Context for VANETs: QoC Metrics for Connectivity in VANETs

A Context Quality Model for Ubiquitous Applications

Context modeling and inference system for heterogeneous context aware service

Comments

Information

Published In

Publisher

Publication History

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

Share

Share this Publication link

Share on social media

Affiliations