Enhancing ontology-based context modeling with temporal vector space for ubiquitous intelligence

Shermann S M Chan, Qun Jin

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Context is the information, which is created and obtained from the surrounding environment for the interaction between humans and computational services. A generic model is a key accessor to the context in any context-aware applications for ubiquitous computing. In the past decades, a number of context modeling techniques have been proposed e.g. markup scheme based, logic-based, graphical, and ontology-based. Since ontology in its nature is a promising tool to specify concepts and interrelations, it has been widely adopted in context modeling. However, in the rapid changing environments, semantics may vary according to the time factors and dynamic group of users. In this paper, we propose an ontology-based context model with temporal vector space in order to complement this deficiency.

    Original languageEnglish
    Title of host publicationProceedings - International Conference on Advanced Information Networking and Applications, AINA
    Pages669-674
    Number of pages6
    Volume1
    DOIs
    Publication statusPublished - 2006
    Event20th International Conference on Advanced Information Networking and Applications - Vienna
    Duration: 2006 Apr 182006 Apr 20

    Other

    Other20th International Conference on Advanced Information Networking and Applications
    CityVienna
    Period06/4/1806/4/20

    Fingerprint

    Vector spaces
    Ontology
    Ubiquitous computing
    Semantics

    ASJC Scopus subject areas

    • Engineering(all)

    Cite this

    Chan, S. S. M., & Jin, Q. (2006). Enhancing ontology-based context modeling with temporal vector space for ubiquitous intelligence. In Proceedings - International Conference on Advanced Information Networking and Applications, AINA (Vol. 1, pp. 669-674). [1620265] https://doi.org/10.1109/AINA.2006.171

    Enhancing ontology-based context modeling with temporal vector space for ubiquitous intelligence. / Chan, Shermann S M; Jin, Qun.

    Proceedings - International Conference on Advanced Information Networking and Applications, AINA. Vol. 1 2006. p. 669-674 1620265.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Chan, SSM & Jin, Q 2006, Enhancing ontology-based context modeling with temporal vector space for ubiquitous intelligence. in Proceedings - International Conference on Advanced Information Networking and Applications, AINA. vol. 1, 1620265, pp. 669-674, 20th International Conference on Advanced Information Networking and Applications, Vienna, 06/4/18. https://doi.org/10.1109/AINA.2006.171
    Chan SSM, Jin Q. Enhancing ontology-based context modeling with temporal vector space for ubiquitous intelligence. In Proceedings - International Conference on Advanced Information Networking and Applications, AINA. Vol. 1. 2006. p. 669-674. 1620265 https://doi.org/10.1109/AINA.2006.171
    Chan, Shermann S M ; Jin, Qun. / Enhancing ontology-based context modeling with temporal vector space for ubiquitous intelligence. Proceedings - International Conference on Advanced Information Networking and Applications, AINA. Vol. 1 2006. pp. 669-674
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