Knowledge modelling framework

Julia Kantorovitch, Aggeliki Giakoumaki, Antonis Korakis, Homer Papadopoulos, Georgios Milis, Panayiotis Kolios, Toni Staykova

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Abstract

    This paper presents a conceptual knowledge modelling framework that aims at facilitating the decision support functions in the emergency management domain. The EDXL-based group of standards is the most complete approach to address emergency information sharing and data exchange across various actors involved in the process of disaster management. Therefore, it is selected as the central basis of knowledge models to utilise and extend with semantic information models towards enhanced knowledge-level interoperability and more efficient decision making.

    Original languageEnglish
    Title of host publicationProceedings of the 2015 2nd International Conference on Information and Communication Technologies for Disaster Management, ICT-DM 2015
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages145-151
    Number of pages7
    ISBN (Electronic)9781479999231
    DOIs
    Publication statusPublished - 8 Feb 2016
    MoE publication typeA4 Article in a conference publication
    Event2nd International Conference on Information and Communication Technologies for Disaster Management, ICT-DM 2015 - Rennes, Brittany, France
    Duration: 30 Nov 20152 Dec 2015

    Conference

    Conference2nd International Conference on Information and Communication Technologies for Disaster Management, ICT-DM 2015
    CountryFrance
    CityRennes, Brittany
    Period30/11/152/12/15

    Keywords

    • decision support
    • EDXL
    • knowledge modelling
    • semantic technology

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  • Cite this

    Kantorovitch, J., Giakoumaki, A., Korakis, A., Papadopoulos, H., Milis, G., Kolios, P., & Staykova, T. (2016). Knowledge modelling framework. In Proceedings of the 2015 2nd International Conference on Information and Communication Technologies for Disaster Management, ICT-DM 2015 (pp. 145-151). [7402037] IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/ICT-DM.2015.7402037