Context-Aware Case-Based Reasoning

  • Albert Pla
  • Jordi Coll
  • Natalia Mordvaniuk
  • Beatriz López
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8891)

Abstract

In the recent years, there has been an increasing interest in ubiquitous computing. This paradigm is based on the idea that software should act according to the context where it is executed in what is known as context-awareness. The goal of this paper is to integrate context-awareness into case-based reasoning (CBR). To this end we propose thee methods which condition the retrieval and the reuse of information in CBR depending on the context of the query case. The methodology is tested using a breast-cancer diagnose database enriched with geospatial context. Results show that context-awareness can improve CBR.

Keywords

Context Management Case-based reasoning Stacking Pervasive computing 

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References

  1. 1.
    Alonso, R.S., Tapia, D.I., García, Ó., Sancho, D., Sánchez, M.: Improving context-awareness in a healthcare multi-agent system. In: Corchado, J.M., Pérez, J.B., Hallenborg, K., Golinska, P., Corchuelo, R. (eds.) Trends in Practical Applications of Agents and Multiagent Systems. AISC, vol. 90, pp. 1–8. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  2. 2.
    Bergquist, R., Rinaldi, L.: Health research based on geospatial tools: a timely approach in a changing environment. Journal of Helminthology 84(01), 1–11 (2010)CrossRefGoogle Scholar
  3. 3.
    Bose, I., Chen, X.: A framework for context sensitive services: A knowledge discovery based approach. Decision Support Systems 48(1), 158–168 (2009)CrossRefMathSciNetGoogle Scholar
  4. 4.
    Chapman, W.W., Chu, D., Dowling, J.N.: Context: An algorithm for identifying contextual features from clinical text. In: BioNLP 2007: Biological, Translational, and Clinical Language Processing, pp. 81–88 (2007)Google Scholar
  5. 5.
    Chen, A.: Context-aware collaborative filtering system: Predicting the user’s preference in the ubiquitous computing environment. In: Strang, T., Linnhoff-Popien, C. (eds.) LoCA 2005. LNCS, vol. 3479, pp. 244–253. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  6. 6.
    Hayes, C., Cunningham, P.: Context boosting collaborative recommendations. Knowledge-Based Systems 17(2), 131–138 (2004)CrossRefGoogle Scholar
  7. 7.
    Herrera, F., Carmona, C.J., González, P., del Jesus, M.J.: An overview on subgroup discovery: foundations and applications. Knowledge and Information Systems 29(3), 495–525 (2011)CrossRefGoogle Scholar
  8. 8.
    Kwon, O.B., Sadeh, N.: Applying case-based reasoning and multi-agent intelligent system to context-aware comparative shopping. Decision Support Systems 37(2), 199–213 (2004)CrossRefGoogle Scholar
  9. 9.
    Lee, J.S., Lee, J.C.: Context awareness by case-based reasoning in a music recommendation system. In: Ichikawa, H., Cho, W.-D., Satoh, I., Youn, H.Y. (eds.) UCS 2007. LNCS, vol. 4836, pp. 45–58. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  10. 10.
    López, B., Pous, C., Gay, P., Pla, A.: Multi criteria decision methods for coordinating case-based agents. In: Braubach, L., van der Hoek, W., Petta, P., Pokahr, A. (eds.) MATES 2009. LNCS, vol. 5774, pp. 54–65. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  11. 11.
    Ma, T., Kim, Y.-D., Ma, Q., Tang, M., Zhou, W.: Context-aware implementation based on cbr for smart home. In: IEEE Wireless and Mobile Computing, Networking And Communications (WiMob 2005), vol. 4, pp. 112–115. IEEE (2005)Google Scholar
  12. 12.
    Makris, P., Skoutas, D.N., Skianis, C.: A survey on context-aware mobile and wireless networking: On networking and computing environments’ integration. IEEE Communications Surveys & Tutorials 15(1), 362–386 (2013)CrossRefGoogle Scholar
  13. 13.
    Nurmi, P., Przybilski, M., Lindén, G., Floréen, P.: A framework for distributed activity recognition in ubiquitous systems. In: IC-AI, pp. 650–655 (2005)Google Scholar
  14. 14.
    Öztürk, P., Aamodt, A.: A context model for knowledge-intensive case-based reasoning. International Journal of Human-Computer Studies 48(3), 331–355 (1998)CrossRefGoogle Scholar
  15. 15.
    Pla, A., Coll, J.: Context-aware cbr tests with a breast cancer dataset. Technical Report IIiA 14-01-RR, IIiA, Universitat de Girona (August 2014)Google Scholar
  16. 16.
    Pla, A., Lopez, B., Coll, J., Mordvaniuk, N., Lopez-Bermejo, A.: Context management in health care apps. In: Proceedings of the 25th European Medical Informatics Conference (MIE 2014), Turkey, p. 1207 (2014)Google Scholar
  17. 17.
    Pla, A., López, B., Gay, P., Pous, C.: exit*cbr v2: Distributed case-based reasoning tool for medical prognosis. Decision Support Systems 54(3), 1499–1510 (2013)CrossRefGoogle Scholar
  18. 18.
    Richter, M.M., Aamodt, A.: Case-based reasoning foundations. The Knowledge Engineering Review 20(03), 203–207 (2005)CrossRefGoogle Scholar
  19. 19.
    Steinberg, A.N., Bowman, C.L.: Adaptive context discovery and exploitation. In: 2013 16th International Conference on Information Fusion (FUSION), pp. 2004–2011. IEEE (2013)Google Scholar
  20. 20.
    Stergiou, G.S., Zourbaki, A.S., Skeva, I.I., Mountokalakis, T.D.: White coat effect detected using self-monitoring of blood pressure at home comparison with ambulatory blood pressure. American Journal of Hypertension 11(7), 820–827 (1998)CrossRefGoogle Scholar
  21. 21.
    Varshney, U.: Pervasive healthcare computing: EMR/EHR, wireless and health monitoring. Springer (2009)Google Scholar
  22. 22.
    Vavpetič, A., Lavrač, N.: Semantic subgroup discovery systems and workflows in the sdm-toolkit. The Computer Journal 56(3), 304–320 (2013)CrossRefGoogle Scholar
  23. 23.
    Zimmermann, A.: Context-awareness in user modelling: Requirements analysis for a case-based reasoning application. In: Ashley, K.D., Bridge, D.G. (eds.) ICCBR 2003. LNCS, vol. 2689, pp. 718–732. Springer, Heidelberg (2003)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Albert Pla
    • 1
  • Jordi Coll
    • 1
  • Natalia Mordvaniuk
    • 1
  • Beatriz López
    • 1
  1. 1.Institut d’Informàtica i AplicacionsUniversity of GironaGironaSpain

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