Abstract
Research describes the design and Ontology for Ubiquitous Surveillance Systems (OSU). OSU arises from the combination of Video Event Ontology (VEO), used generally to conceptualize events surveillance [2] with Standard Ontology for Ubiquitous and Pervasive Applications (SOUPA), used generally to conceptualize events ubiquitous computing [3]. The goal of combining VEO and SOUPA is complementarity, because there classes SOUPA that can be used to describe events surveillance (Person, for example), while there are classes VEO that can be used to describe events ubiquitous computing (Object, for example). OSU allowed understand and conceptualize, better, the events recorded in CASAS [4] projects and start [5].
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Notes
- 1.
This rule has only been existing M08 sensor located in the dining room and not at all for purposes of space.
References
Tapia, D.: Multiagent architecture for ambient intelligence environments. Ph.D. thesis, University of Salamanca (2004)
Nevatia, R., Bolles, B.: A hierarchical video event ontology in OWL. Final report (2004). http://www.qword.com/search.php?s=404&q=rrc.mitrenwrrcowl-events-final-report.pdf. Accessed 03 Mar 2011
Chen, H., Perich, F., Finin, T., Joshi, A.: SOUPA: Standard Ontology for Ubiquitous and Pervasive Applications. In: International Conference on Mobile and Ubiquitous Systems: Networking and Services, pp. 258–267 (2004)
HOUSES Project: http://ailab.wsu.edu/casas/
“Start Over”. Practical exercises of cognitive stimulation for people with Alzheimer’s. http://es.scribd.com/doc/9409653/Volver-a-Empezar-ejercicios-para-alzheimer. Accessed 24 Mar 2011
Held, A., Buchholz, S., Schill, A.: Modeling of context information for pervasive computing applications. In: Proceedings of the 6th World Multiconference on Systemics, Cybernetics and Informatics (SCI2002) (2002)
Chen, H., Finin, T., Anupam, J.: An ontology for context-aware pervasive computing environments. Special Issue Ontol. Distrib. Syst. Knowl. Eng. Rev. 18(3), 197–207 (2004)
Toro, C., Vaquero, J., Posada, J.: User experience, ambient intelligence and virtual reality in industrial maintenance and domain using protégé. In: 11th International Protégé Conference, June 2009
Devaraju, A., Hoh, S.: Ontology-based context modeling for user-centered context-aware services plaform. In: International Symposium on Information Technology, pp. 1–7 (2008)
Brickley, D., Miller, L.: FOAF Vocabulary Specification. Revision 1.47 edition, September 2003
Hobbs, J.: A daml ontology of time (2002). http://www.cs.rochester.edu/ferguson/daml/daml-time-20020830.txt
Randell, D., Cui, Z., Cohn, A.: A spatial logic based on regions and connection. In: Proceedings of the 3rd International Conference on Knowledge Representation and Reasoning (1992)
“Vigilance & Security” Take of: http://www.vigilanceandsecurity.com/. Accessed 15 Mar 2011
Preibusch, S., Hoser, B., Gurses, S., Berendt, B.: Ubiquitous social networks - opportunities and challenges for privacy-aware user modeling. In: Proceedings of the Data Mining for User Modelling Workshop, June 2007
Silva, G., Ishikawa, T., Yamasaki, T., Aizawa, K.: Person tracking and multicamera video. retrieval using floor sensors in a ubiquitous environment. In: International Conference on Image and Video Retrieval a Ubiquitous Environment (2005)
PlaceLab Project: Take of http://architecture.mit.edu/house_n/placelab.html. Accessed 05 June 2010
Ontology for ambient intelligence. http://www.ontospace.uni-bremen.de/ontology/modSpace/AmI.html. Accessed 14 Mar 2011
Horridge, M., Patel-Schneider, P.F.: Manchester OWL syntax for OWL 1.1. OWL: Experiences and Directions (OWLED 08 DC), Gaithersberg, Maryland (2008)
Masolo, C., Borgo S., Gangemi, A., Guarino, N., Oltramari, A.: Ontologies library. WonderWeb Deliverable D18, ISTC-CNR (2003)
Hois, J., Bhatt, M., Kutz, O.: Modular ontologies for architectural design. In: Proceedings of the 2009 Conference on Formal Ontologies Meet Industry. IOS Press, Amsterdam (2009)
García, C., Romero, N., Quiroga, J.: Detection and Tracking people in a crosswalk. In: XIV Symposium in Signal Processing, Images and Artificial Vision (2009)
Daamen, W., Hoogendoonr, S.: Free speed distributionsfor pedestrian traffic. In: Transportation Research Board Annual Meeting (2006)
Silva, G., Ishikawa, T., Yamasaki, T., Aizawa, K.: Person tracking and multicamera video. retrieval using floor sensors in a ubiquitous enviroment. In: International Conference on Image and Video Retrieval a Ubiquitous Environment (2005)
Techniques for monitoring and escort. http://es.scribd.com/doc/32479808/Tecnicas-de-seguimiento-y-escolta. Accessed 18 Mar 2011
Rashidi, P., Cook, D.: Mining sensor streams for discovering human activity patterns over time. In: Proceedings of the IEEE International Conference on Data Mining (2010)
Patterson, D., Etzioni, O., Fox, D., Kautz, H.: Intelligent ubiquitous computing to support alzheimer’s patients: enabling the cognitively disabled. In: Proceedings UbiCog’02: First International Workshop on Ubiquitous Computing for Cognitive Aids (2002)
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Arias T, S., Arias, X., Cartuche, C., Francisco, L.J. (2021). Soupa and Integration of Ontologies Verl for Conceptualizing Contexts in Video Surveillance and Ubiquitous Computing. In: Auer, M.E., Tsiatsos, T. (eds) Internet of Things, Infrastructures and Mobile Applications. IMCL 2019. Advances in Intelligent Systems and Computing, vol 1192. Springer, Cham. https://doi.org/10.1007/978-3-030-49932-7_73
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