Abstract
The Internet of Thing allows objects and services to interact with each other. The goal of this study is to recognize high level states of the rooms and more generally of the home. We want to be able to obtain intermediate states like “someone is in the kitchen” or “night mode”. In the specific case of home activity and state measurement, we consider that a set of furniture units is especially suitable for providing low level information. Recognizing and identifying house states or other high level information can be done using several methods. In this paper, we present an ontology based method. In the following, a situation is considered to be realized when the hypothesis which represents it are fulfilled. Using this approach, we show that multiple instances of situation context are distinguishable.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), Omaha, Nebraska, USA, 28–31 October 2007. IEEE Computer Society (2007)
Anagnostopoulos, C., Ntarladimas, Y., Hadjiefthymiades, S.: Situational computing: an innovative architecture with imprecise reasoning. J. Syst. Softw. 80(12), 1993–2014 (2007)
Attard, J., Scerri, S., Rivera, I., Handschuh, S.: Ontology-based situation recognition for context-aware systems. In: I-SEMANTICS 2013–9th International Conference on Semantic Systems, ISEM 2013, Graz, Austria, 4–6 September 2013, pp. 113–120 (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(2), 161–180 (2010)
Boytsov, A., Zaslavsky, A., Eryilmaz, E., Albayrak, S.: Situation awareness meets ontologies: a context spaces case study. In: Christiansen, H., Stojanovic, I., Papadopoulos, G.A. (eds.) CONTEXT 2015. LNCS (LNAI), vol. 9405, pp. 3–17. Springer, Cham (2015). doi:10.1007/978-3-319-25591-0_1
Chen, H., Perich, F., Finin, T.W., Joshi, A.: SOUPA: standard ontology for ubiquitous and pervasive applications. In: 1st Annual International Conference on Mobile and Ubiquitous Systems (MobiQuitous 2004), Networking and Services, Cambridge, MA, USA, pp. 258–267, 22–25 August 2004
Choudhury, T., Quigley, A.J., Strang, T., Suginuma, K. (eds.): LoCA 2009. LNCS, vol. 5561. Springer, Heidelberg (2009)
Compton, M., Henson, C.A., Neuhaus, H., Lefort, L., Sheth, A.P.: A survey of the semantic specification of sensors. In: Proceedings of the 2nd International Workshop on Semantic Sensor Networks (SSN 2009), Collocated with the 8th International Semantic Web Conference (ISWC-2009), Washington DC, USA, 26 October 2009, pp. 17–32 (2009)
Dapoigny, R., Barlatier, P.: Formalizing context for domain ontologies in Coq. In: Brézillon, P., Gonzalez, A.J. (eds.) Context in Computing - A Cross-Disciplinary Approach for Modeling the Real World, pp. 437–454. Springer, New York (2014)
Sikounmo, C.D., Benoit, E., Perrin, S.: States measurement in a context of intelligent connected furnitures. In: 2016 Joint IMEKO TC1-TC7-TC13 Symposium “Metrology Across the Sciences: Wishful Thinking?”. To be Published in IoP Science, Berkeley Evaluation and Assessment Research Center, Berkeley, USA, August 2016
Devlin, K.: Situation theory and situation semantics. In: Logic and the Modalities in the Twentieth Century, pp. 601–664 (2006)
Dey, A.K.: Understanding and using context. Pers. Ubiquit. Comput. 5(1), 4–7 (2001)
Gonzalez, A.J., Ahlers, R.: Context-based representation of intelligent behavior in training simulations. Trans. Soc. Comput. Simul. 15(4), 153–166 (1998)
Gruber, T.: Ontology. In: Liu, L., Tamer Özsu, M. (eds.) Encyclopedia of Database Systems, pp. 1963–1965. Springer, New York (2009)
Gu, T., Pung, H.K., Zhang, D.: A service-oriented middleware for building context-aware services. J. Netw. Comput. Appl. 28(1), 1–18 (2005)
Gu, T., Wang, X.H., Pung, H.K., Zhang, D.Q.: An ontology-based context model in intelligent environments. In: Proceedings of Communication Networks and Distributed Systems Modeling and Simulation Conference, pp. 270–275 (2004)
Guermah, H., Fissaa, T., Hafiddi, H., Nassar, M., Kriouile, A.: An ontology oriented architecture for context aware services adaptation (2014). CoRR abs/1404.3280
Harter, A., Hopper, A., Steggles, P., Ward, A., Webster, P.: The anatomy of a context-aware application. Wirel. Netw. 8(2–3), 187–197 (2002)
Henricksen, K., Indulska, J., Rakotonirainy, A.: Modeling context information in pervasive computing systems. In: Mattern, F., Naghshineh, M. (eds.) Pervasive 2002. LNCS, vol. 2414, pp. 167–180. Springer, Heidelberg (2002). doi:10.1007/3-540-45866-2_14
Henricksen, K., Indulska, J., Rakotonirainy, A.: Generating context management infrastructure from high-level context models. In: 4th International Conference on Mobile Data Management (MDM) - Industrial Track, pp. 1–6 (2003)
Kindberg, T., Barton, J.: A web-based nomadic computing system. Comput. Netw. 35(4), 443–456 (2001)
McCowan, I., Gatica-Perez, D., Bengio, S., Lathoud, G., Barnard, M., Zhang, D.: Automatic analysis of multimodal group actions in meetings. IEEE Trans. Pattern Anal. Mach. Intell. 27(3), 305–317 (2005)
Wang, X., Zhang, D., Gu, T., Pung, H.K.: Ontology based context modeling and reasoning using OWL. In: 2nd IEEE Conference on Pervasive Computing and Communications Workshops (PerCom 2004 Workshops), Orlando, FL, USA, pp. 18–22, 14–17 March 2004
Wu, H., Siegel, M., Ablay, S.: Sensor fusion for context understanding. In: Proceedings of the 19th IEEE Instrumentation and Measurement Technology Conference, IMTC/2002, vol. 1, pp. 13–17 (2002)
Ye, J., Coyle, L., Dobson, S.A., Nixon, P.: Representing and manipulating situation hierarchies using situation lattices. Rev. d’Intell. Artif. 22(5), 647–667 (2008)
Ye, J., Dobson, S., McKeever, S.: Situation identification techniques in pervasive computing: a review. Pervasive Mob. Comput. 8(1), 36–66 (2012)
Acknowledgments
This research is supported by the Universite Savoie Mont Blanc, the Association des Pays de Savoie and Miliboo Corporation.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Deffo Sikounmo, C., Benoit, E., Perrin, S. (2017). Modeling Situations in an Intelligent Connected Furniture Environment. In: Brézillon, P., Turner, R., Penco, C. (eds) Modeling and Using Context. CONTEXT 2017. Lecture Notes in Computer Science(), vol 10257. Springer, Cham. https://doi.org/10.1007/978-3-319-57837-8_32
Download citation
DOI: https://doi.org/10.1007/978-3-319-57837-8_32
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-57836-1
Online ISBN: 978-3-319-57837-8
eBook Packages: Computer ScienceComputer Science (R0)