A Framework for Situation Inference based on Belief Function Theory

Ladislav Beranek

Abstract

The ability to identify the occurrence of a situation is the main function of context-aware systems. The process of identifying a situation is not easy due to the uncertain nature of the processed information. We use the belief function theory to detect specific situations on the basis of uncertain sensor data. In this paper, we propose a framework for situation awareness based on the belief function theory which is applied to determination of situation occurrence from uncertain sensor data. The framework consists of the situation sensors data processing (filtering, integration) and of situation detection based on alternative frames of discernment generation. The case study demonstrates that the proposed framework is effective and can be used to situation detection.

References

  1. Beranek, L., Knizek, J., 2012. The Usage of Contextual Discounting and Opposition in Determining the Trustfulness of Users in Online Auctions. Journal of Theoretical and Applied Electronic Commerce Research, vol. 7, No. 1, pp. 34?50.
  2. Ciaramella A., Cimino M., Marcelloni F., Straccia U., 2010. DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications. Berlin: Springer, pp. 31-45.
  3. Daniel, M., 2010. Several Notes on Belief Combination. In Proceedings of the Theory of Belief Functions Workshop. Brest: ENSIETA, 2010. pp. 1-5.
  4. Furno D., Loia V., Veniero M., 2010. A fuzzy cognitive situation awareness for airport security. Control and Cybernetics, vol. 39, No. 4, pp. 959?982.
  5. Haenni, R., 2005. Shedding new light on Zadeh's criticism of Dempster's rule of combination. In Proceedings of the Eighth Int. Conf. on Information Fusion, Philadelphia, IEEE, pp. 879-884.
  6. Liao J., Bi X., Nugent Ch., 2010. Activity Recognition for Smart Homes Using Dempster-Shafer Theory of Evidence Based on a Revised Lattice Structure. In Proceeding of the 2010 Sixth Int. Conf. on Intelligent Environments. Washington IEEE, pp. 46?51.
  7. van Kasteren T., Noulas A., Englebienne G., Krose B., 2008. Accurate activity recognition in a home setting. In Proceedings of 10th International Conference on Ubiquitous Computing, South Korea, pp. 1?9.
  8. Matheus C. J., Kokar M. M., Baclawski K., 2003. A Core Ontology for Situation Awareness. In Proceedings of Sixth International Conference on Information Fusion. Cairns, Australia, pp. 545?552
  9. McKeever S., Ye J., Coyle L., Dobson S., 2009. Using Dempster-Shafer Theory of Evidence for Situation Inference. In Proceedingd of the Fourth European Conference Smart Sensing and Context. Lecture Notes in Computer Science 5741, pp. 149-162
  10. Ranganathan, A. et al., 2004. Reasoning about uncertain contexts in pervasive computing environments. Pervasive Computing, IEEE , 3(2):62?70, 2004.
  11. Shafer, G., 1975. A mathematical theory of evidence. Princeton University Press, Princeton, NJ.
  12. Shubert, J., 2012. Constructing and reasoning about frames of discernment, International Journal of Approximate Reasoning, vol. 53, no. 1, pp. 176-189.
  13. Ulicny, B. et al., 2011. Augmenting the Analyst via Situation-Dependent Reasoning with Trust-Annotated Facts. In Int. Conf. on Cognitive Methods in Situation Awareness. Miami Beach: IEEE, pp. 17?24.
  14. Zadeh, L. A., 1984. Review of a mathematical theory of evidence, AI Magazine, vol. 5, pp. 81-83.
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Paper Citation


in Harvard Style

Beranek L. (2012). A Framework for Situation Inference based on Belief Function Theory . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012) ISBN 978-989-8565-29-7, pages 358-361. DOI: 10.5220/0004143703580361


in Bibtex Style

@conference{kdir12,
author={Ladislav Beranek},
title={A Framework for Situation Inference based on Belief Function Theory},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)},
year={2012},
pages={358-361},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004143703580361},
isbn={978-989-8565-29-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)
TI - A Framework for Situation Inference based on Belief Function Theory
SN - 978-989-8565-29-7
AU - Beranek L.
PY - 2012
SP - 358
EP - 361
DO - 10.5220/0004143703580361