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Extended Context Patterns – A Visual Language for Context-Aware Applications*

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 678))

Abstract

The paper presents a visual language that can help users of a context-aware application represent the current situation, or situations they wish detected, in a language that is both formally defined, and readable and understandable by humans and machines alike. Inspired from Regular Expressions, the concept of Extended Concept Pattern provides both conciseness and expressive power, allowing for specifying negation, and for indicating repeating or alternative structures.

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References

  1. Augusto, J., Nakashima, H., Aghajan, H.: Ambient intelligence and smart environments: A state of the art. Handbook of Ambient Intelligence and Smart Environments pp. 3–31 (2010)

    Google Scholar 

  2. Brézillon, J., Brézillon, P.: Context modeling: Context as a dressing of a focus. In: Kokinov, B., Richardson, D., Roth-Berghofer, T., Vieu, L. (eds.) Modeling and Using Context, Lecture Notes in Computer Science, vol. 4635, pp. 136–149. Springer Berlin Heidelberg (2007), http://dx.doi.org/10.1007/978-3-540-74255-5_11

  3. Chen, G., Kotz, D.: A survey of context-aware mobile computing research. Technical Report TR2000-381, Dartmouth College (November 2000)

    Google Scholar 

  4. Dey, A., Abowd, G., Salber, D.: A context-based infrastructure for smart environments. Proceedings of the 1st International Workshop on Managing Interactions in Smart Environments (MANSE’99) pp. 114–128 (1999)

    Google Scholar 

  5. Ducatel, K., Bogdanowicz, M., Scapolo, F., Leijten, J., Burgelman, J.: Scenarios for ambient intelligence in 2010. Tech. rep., Office for Official Publications of the European Communities (February 2001)

    Google Scholar 

  6. Henricksen, K., Indulska, J., Rakotonirainy, A.: Modeling context information in pervasive computing systems. Lecture notes in computer science pp. 167–180 (2002), http://www.springerlink.com/content/jbxd2fd5ga045p8w/

  7. Lassila, O., Swick, R.: Resource description framework (RDF) model and syntax specification. Tech. rep., The World Wide Web Consortium (1998)

    Google Scholar 

  8. Novak, J.D., Cañas, A.J.: The origins of the concept mapping tool and the continuing evolution of the tool. Information Visualization 5(3), 175–184 (2006)

    Google Scholar 

  9. Olaru, A.: Context matching for ambient intelligence applications. In: Björner, N., Negru, V., Ida, T., Jebelean, T., Petcu, D., Watt, S., Zaharie, D. (eds.) Proceedings of SYNASC 2013, 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, September 23-26, Timisoara, Romania. pp. 265–272. IEEE CPS (2013)

    Google Scholar 

  10. Olaru, A.: Context-awareness in multi-agent systems for ambient intelligence. In: Brézillon, P., Gonzalez, A.J. (eds.) Context in Computing - A Cross-Disciplinary Approach for Modeling the Real World, pp. 541–556. Springer New York (2014), http://link.springer.com/chapter/10.1007/978-1-4939-1887-4_33

  11. Perera, C., Zaslavsky, A., Christen, P., Georgakopoulos, D.: Context aware computing for the internet of things: A survey. IEEE Communications Surveys and Tutorials 16(1), 414–454 (2013)

    Google Scholar 

  12. Robinson, R., Henricksen, K., Indulska, J.: XCML: A runtime representation for the context modelling language. Pervasive Computing and Communications Workshops, 2007. PerCom Workshops’ 07. Fifth Annual IEEE International Conference on pp. 20–26 (2007)

    Google Scholar 

  13. Sorici, A., Picard, G., Boissier, O., Florea, A.: Multi-agent based exible deployment of context management in ambient intelligence applications. In: Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection, pp. 225–239. Springer (2015)

    Google Scholar 

  14. Sowa, J.: Conceptual graphs. Foundations of Artificial Intelligence 3, 213–237 (2008)

    Google Scholar 

  15. Sowa, J.F.: Semantic networks. Encyclopedia of Cognitive Science (2006)

    Google Scholar 

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Correspondence to Andrei Olaru .

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Olaru, A., Florea, A.M. (2017). Extended Context Patterns – A Visual Language for Context-Aware Applications* . In: Badica, C., et al. Intelligent Distributed Computing X. IDC 2016. Studies in Computational Intelligence, vol 678. Springer, Cham. https://doi.org/10.1007/978-3-319-48829-5_6

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  • DOI: https://doi.org/10.1007/978-3-319-48829-5_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48828-8

  • Online ISBN: 978-3-319-48829-5

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