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Abstract
Context-awareness advances have evidenced novel challenges related to context management and context-awareness usability. Most of these problems can be supported through general context attributes, i.e. properties that describe issues of the context itself, what we call meta-context. We can identify similar attributes in a variety of proposals to enhance context-aware systems. However, these attributes are usually managed internally. A common and formal model that describes the significant context attributes, their relationships and semantic axioms helps to separate the meta-context from the context model. Moreover, we propose a specific Semantic-Web-based architecture to manage the meta-context at run-time and offers related functionalities to external context-aware applications.
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Authors and Affiliations
Castilla – La Mancha University, Paseo de la Universidad 4, 13071, Ciudad Real, Spain
Ramón Hervás, Jesús Fontecha & Jose Bravo
Technological University of Panama, Lassonde, David, Chiriquí, Republic of Panama
Vladimir Villarreal
- Ramón Hervás
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- Jesús Fontecha
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- Vladimir Villarreal
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- Jose Bravo
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Editors and Affiliations
Institute of Integrated Sensor Systems, University of Kaiserslautern, Erwin-Schroedinger-str. 12, 67663, Kaiserslautern, Germany
Andreas König
Knowledge-Based Systems Group, Department of Computer Science, University of Kaiserslautern, P.O. Box 3049, 67653, Kaiserslautern, Germany
Andreas Dengel
School of Business, University of Applied Sciences Northwestern Switzerland, Riggenbachstr. 16, 4600, Olten, Switzerland
Knut Hinkelmann
Graduate School of Engineering, Osaka Prefecture University, 1-1 Gakuen-cho, 599-8531, Sakai,, Osaka, Japan
Koichi Kise
KES International, P.O. Box 2115, BN43 9AF, Shoreham-by-sea, UK
Robert J. Howlett
University of South Australia, Adelaide, 5095, Mawson Lakes, SA, Australia
Lakhmi C. Jain
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Hervás, R., Fontecha, J., Villarreal, V., Bravo, J. (2011). Meta-context: Putting Context-Awareness into Context. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds) Knowlege-Based and Intelligent Information and Engineering Systems. KES 2011. Lecture Notes in Computer Science(), vol 6882. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23863-5_30
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