A Generic Upper-Level Ontological Model for Context-Aware Applications within Smart Environments

  • Laura M. McAvoy
  • Liming Chen
  • Mark Donnelly
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8276)


Context modeling has attracted increasing attention due to the prevalence of context-aware applications within smart environments. Whilst upper-level context ontologies exist for use within smart environments, none offer a single generalized model covering all high-level elements that exist across all types of smart environments. This paper presents an upper-level context ontology for smart environments which aims to incorporate all factors deemed important for context in smart environments. Specifically, the proposed model considers key factors that include User, Object, Location, Application, Event, Natural Element and Temporal. The model is able to represent daily routines encompassing both open-world and closed-world activities and this is presented in a short vignette.


Smart Environments Context-awareness Ontological Context Modeling Upper-Level Ontology 


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  1. 1.
    Weiser, M., Gold, R., Brown, J.S.: The origins of ubiquitous computing research at PARC in the late 1980s. J. IBM Systems 38, 693–696 (1999)CrossRefGoogle Scholar
  2. 2.
    Bauer, J.: Identification and Modeling of Contexts for Different Information Scenarios in Air Traffic, Diplomarbeit (2003)Google Scholar
  3. 3.
    Truong, H., Manzoor, A., Dustdar, S.: On modeling, collecting and utilizing context information for disaster responses in pervasive environments. In: Proceedings of the First International Workshop on Context-Aware Software Technology and Applications, pp. 25–28 (2009)Google Scholar
  4. 4.
    Balavalad, K.B., Manvi, S.S., Sutagundar, A.V.: Context-Aware Computing in Wireless Sensor Networks. In: International Conference on Advances in Recent Technologies in Communication and Computing, pp. 514–516. IEEE (2009)Google Scholar
  5. 5.
    Dey, A.K.: Understanding and Using Context. J. Personal and Ubiquitous Computing 5(1), 4–7 (2001)CrossRefGoogle Scholar
  6. 6.
    Russomanno, D.J., Kothari, C., Thomas, O.: Sensor Ontologies: From Shallow to Deep Models. In: 37th Southeastern Symposium on System Theory (2005)Google Scholar
  7. 7.
    Hsien-Chou, L., Chien-Chih, T.: A RDF and OWL-Based Temporal Context Reasoning Model for Smart Home. J. Information Technology 6, 1130–1138 (2007)CrossRefGoogle Scholar
  8. 8.
    Ni, H., Zhou, X., Yu, Z., Miao, K.: OWL-Based Context-Dependent Task Modeling and Deducing. In: 1st International Workshop on Smart Homes for TeleHealth, pp. 846–851. IEEE, Canada (2007)Google Scholar
  9. 9.
    Shih, F., Narayanan, V., Kuhn, L.: Enabling Semantic Understanding of Situations from Contextual Data in a Privacy-Sensitive Manner. Activity Context Representation 11, 68–73 (2011)Google Scholar
  10. 10.
    Hervás, R., Bravo, J., Fontecha, J.: A context model based on ontological languages: a proposal for information visualization. J. Univers. Comput. Sci. 16(12), 1539–1555 (2010)Google Scholar
  11. 11.
    Chen, L., Nugent, C.D., Wang, H.: A Knowledge-Driven Approach to Activity Recognition in Smart Homes. IEEE Transactions on Knowledge and Data Engineering (2010)Google Scholar
  12. 12.
    McAvoy, L.M., Chen, L., Donnelly, M.: An Ontology-based Context Management System for Smart Environments. In: The Sixth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, pp. 18–23 (2012)Google Scholar
  13. 13.
    W3C Semantic Sensor Network Incubator Group,
  14. 14.
    SERG: Smart Environments Research Group,
  15. 15.
    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)Google Scholar
  16. 16.
    The Protégé Ontology Editor and Knowledge Acquisition System,

Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Laura M. McAvoy
    • 1
  • Liming Chen
    • 1
  • Mark Donnelly
    • 1
  1. 1.University of UlsterJordanstownUK

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