[en] Theimportanceofsystem-levelcontext-andsituationaware- ness increases with the growth of the Internet of Things (IoT). This paper proposes an integrated approach to situation awareness by providing a semantically rich situation model together with reliable situation infer- ence based on Context Spaces Theory (CST) and Situation Theory (ST). The paper discusses benefits of integrating the proposed situation aware- ness framework with knowledge base and efficient reasoning techniques taking into account uncertainty and incomplete knowledge about situa- tions. The paper discusses advantages and impact of proposed context adaptation in dynamic IoT environments. Practical issues of two-way mapping between IoT messaging standards and CST are also discussed.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
KOLBE, Niklas ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Zaslavsky, Arkady
KUBLER, Sylvain ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
ROBERT, Jérémy ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
LE TRAON, Yves ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Enriching a Situation Awareness Framework for IoT with Knowledge Base and Reasoning Components
Date de publication/diffusion :
juillet 2017
Nom de la manifestation :
The Tenth International and Interdisciplinary Conference on Modeling and Using Context
Date de la manifestation :
from 20-06-2017 to 23-06-2017
Titre de l'ouvrage principal :
Modeling and Using Context
Peer reviewed :
Peer reviewed
Projet européen :
H2020 - 688203 - bIoTope - Building an IoT OPen innovation Ecosystem for connected smart objects
Abowd, G.D., Dey, A.K., Brown, P.J., Davies, N., Smith, M., Steggles, P.: Towards a better understanding of context and context-awareness. In: Gellersen, H.-W. (ed.) HUC 1999. LNCS, vol. 1707, pp. 304-307. Springer, Heidelberg (1999). doi:10.1007/3-540-48157-5_29
Baumgartner, N., Retschitzegger, W.: A survey of upper ontologies for situation awareness. In: Proceedings of the 4th IASTED International Conference on Knowledge Sharing and Collaborative Engineering, St. Thomas, US 6, pp. 1-9 (2006)
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.: ECSTRA-distributed context reasoning framework for pervasive computing systems. In: Balandin, S., Koucheryavy, Y., Hu, H. (eds.) NEW2AN/ruSMART -2011. LNCS, vol. 6869, pp. 1-13. Springer, Heidelberg (2011). doi:10.1007/978-3-642-22875-9_1
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
Boytsov, A., Zaslavsky, A., Synnes, K.: Extending context spaces theory by predicting run-time context. In: Balandin, S., Moltchanov, D., Koucheryavy, Y. (eds.) NEW2AN/ruSMART-2009. LNCS, vol. 5764, pp. 8-21. Springer, Heidelberg (2009). doi:10.1007/978-3-642-04190-7_2
Chen, H., Finin, T., Joshi, A.: The SOUPA ontology for pervasive computing. In: Tamma, V., Cranefield, S., Finin, T.W., Willmott, S. (eds.) Ontologies for Agents: Theory and Experiences, pp. 233-258. Springer, Heidelberg (2005)
Compton, M., Barnaghi, P., Bermudez, L., García-Castro, R., Corcho, O., Cox, S., Graybeal, J., Hauswirth, M., Henson, C., Herzog, A., et al.: The SSN ontology of the W3C semantic sensor network incubator group. Web Semant.: Sci. Serv. Agents World Wide Web 17, 25-32 (2012)
Desai, P., Sheth, A., Anantharam, P.: Semantic gateway as a service architecture for IoT interoperability. In: 2015 IEEE International Conference on Mobile Services, pp. 313-319. IEEE (2015)
Devlin, K.: Situation theory and situation semantics. Handb. Hist. Log. 7, 601-664 (2006)
Furno, D., Loia, V., Veniero, M.: A fuzzy cognitive situation awareness for airport security. Control Cybern. 39(4), 959-982 (2010)
Gruber, T.R.: Toward principles for the design of ontologies used for knowledge sharing? Int. J. Hum Comput Stud. 43(5), 907-928 (1995)
Kolbe, N., Zaslavsky, A., Kubler, S., Robert, J.: Reasoning over knowledge-based generation of situations in context spaces to reduce food waste. In: Galinina, O., Balandin, S., Koucheryavy, Y. (eds.) NEW2AN/ruSMART-2016. LNCS, vol. 9870, pp. 101-114. Springer, Cham (2016). doi:10.1007/978-3-319-46301-8_9
Matheus, C.J., Kokar, M.M., Baclawski, K., Letkowski, J.A., Call, C., Hinman, M.L., Salerno, J.J., Boulware, D.M.: SAWA: an assistant for higher-level fusion and situation awareness. In: Defense and Security, pp. 75-85. International Society for Optics and Photonics (2005)
Padovitz, A.: Context Management and Reasoning About Situations in Pervasive Computing. Monash University, Melbourne (2006)
Padovitz, A., Loke, S.W., Zaslavsky, A.: Towards a theory of context spaces. In: Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops, pp. 38-42. IEEE (2004)
Shafer, G.: A Mathematical Theory of Evidence, vol. 1. Princeton University Press, Princeton (1976)
Spalazzi, L., Taccari, G., Bernardini, A.: An internet of things ontology for earthquake emergency evaluation and response. In: 2014 International Conference on Collaboration Technologies and Systems (CTS), pp. 528-534. IEEE (2014)
Strang, T., Linnhoff-Popien, C.: A context modeling survey. In: Workshop on Advanced Context Modelling, Reasoning and Management, UbiComp 2004 (2004)
Wang, X.H., Zhang, D.Q., Gu, T., Pung, H.K.: Ontology based context modeling and reasoning using owl. In: Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops, pp. 18-22. IEEE (2004)
Yau, S.S., Liu, J.: Hierarchical situation modeling and reasoning for pervasive computing. In: The Fourth IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, 2006 and the 2006 Second International Workshop on Collaborative Computing, Integration, and Assurance, SEUS 2006/WCCIA 2006, p. 6. IEEE (2006)
Ye, J., Dobson, S., McKeever, S.: Situation identification techniques in pervasive computing: a review. Pervasive Mob. Comput. 8(1), 36-66 (2012)
