Abstract
One of the main aspects of Ambient Intelligence (AmI) refers to its capacity of act autonomously in benefit of human beings. This implies in a hard challenge to overcome and of enormous responsibility. AmI is directly related to other fields of knowledge such as Smart environments, which aim to improve user experience through the development of context-aware applications. In this paper we present the current scenario of context-aware systems with some conceptual metrics to be followed. We highlight the problem of dealing with uncertain context information, e.g. incomplete, out-dated or nebulous data, seen as one of the main obstacle in this area.
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References
Amdouni, S., et al.: Handling uncertainty in data services composition. In: International Conference on Services Computing, 11th edn., pp. 653–660. IEEExplore, Anchorage (2014)
Aztiria, A., et al.: Learning Frequent behaviors of the users in intelligent environments. IEEE Trans. Syst. Man Cybern. Syst. 43(6), 1265–1278 (2013)
Bettini, C., Brdiczka, O., Henricksen, K., Indulska, J., Nicklas, D., Ranganathan, A., Riboni, D.: A survey of context modelling and reasoning techniques. Pervasive Mob. Comput. 6, 161–180 (2010)
Bhatnagar, R.K., Kanal, L.N.: Handling uncertain information: a review of numeric and non-numeric methods 1986. In: Kanal, L.N., Lemmer, J.F. (eds.) Uncertainty in Artificial Intelligence. Elsevier Science Publishers B.V. (2014)
Cook, D.J., Augusto, J.C., Jakkula, V.R.: Ambient intelligence: Technologies, applications, and opportunities. Pervasive Mob. Comput. 5(4), 277–298 (2009)
Delmastro, F., Arnaboldi, V., Conti, M.: People-centric computing and communications in smart cities. IEEE Commun. Mag. 54(7), 122–128 (2016)
Indulska, J., Sutton, P.: Location management in pervasive systems. In: Proceedings of the Australasian Information Security 2003, vol. 21, pp. 143–151 (2003)
Mokhtar, S.B., et al.: Efficient semantic service discovery in pervasive computing environments. In: International Middleware Conference (MIDDLEWARE 2006), Proceedings of the ACM/IFIP/USENIX, 7th edn. Bordeaux, France, pp. 240–259 (2006)
Novais, P., Carneiro, D.: The role of non-intrusive approaches in the development of people-aware systems. Prog Artif Intell, cidade, Berlin, vol. 5, n. 3, pp. 215–220 (2016)
Nugroho, L.E.: Context-awareness: connecting computing with its environment. In: International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), 2nd edn. Semarang, Indonesia (2015)
Perera, C., Zaslavsky, A., Christen, P., Georgakopoulous, D.: Context aware computing for the internet of things: a survey. IEEE Commun. Surv. Tutor. 16(1), 414–454 (2014). (First Quarter)
Pietschmann, S., Mitschick, A., Winkler, R., Meissner, K.: Croco: Ontology-based, cross-application context management. In: Third International Workshop on Semantic Media Adaptation and Personalization, SMAP 2008, pp. 88–93, December 2008
Samia, B., Allel, H., Aicha, A.M.: Handling preferences under uncertainty in recommender systems. In: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1st edn. Pequim, China, pp. 2262–2269 (2014)
Vanrompay, Y., Pinheiro, M. K., Berbers, Y.: Context-aware service selection with uncertain context information. In: International Discotec Workshop on Context-Aware Adaptation Mechanisms for Pervasive and Ubiquitous Services (CAMPUS 2009), 2nd edn. Lisboa, Portugal: Proceedings of the Second International DisCoTec Workshop on Context-aware Adaptation Mechanisms for Pervasive and Ubiquitous Services, vol. 19 (2009)
Yanwei, S., Guangzhou, Z., Haitao, P.: Research on the context model of intelligent interaction system in the internet of things. In: 2011 International Symposium on IT in Medicine and Education (ITME), vol. 2, pp. 379–382, December 2011
Yaghlane, A.B., Denoeux, T., Mellouli, K.: Elicitation of expert opinions for constructing belief functions. In: Uncertainty and Intelligent Information System, pp. 75–89 (2008)
Oliveira, T.J.M.: Clinical Decision support: knowledge representation and uncertainty management. Ph.D. thesis, University of Minho - Doctoral Programme of Biomedical Engineering, R. da Universidade, 4710-057, Braga, Campus de Gualtar, 4 (2017)
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This work has been supported by COMPETE: POCI-01-0145-FE\-DER-007043 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope UID/CEC/00319/2013.
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Freitas, L.O., Henriques, P.R., Novais, P. (2019). Context-Awareness and Uncertainty: Current Scenario and Challenges for the Future. In: Novais, P., et al. Ambient Intelligence – Software and Applications –, 9th International Symposium on Ambient Intelligence. ISAmI2018 2018. Advances in Intelligent Systems and Computing, vol 806. Springer, Cham. https://doi.org/10.1007/978-3-030-01746-0_20
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DOI: https://doi.org/10.1007/978-3-030-01746-0_20
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