Semantic Interoperability of Early Warning Systems: a Systematic Literature Review

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    1 Citation (Scopus)


    An Early Warning System (EWS) is a system-of-systems that is able to detect emergency risks and warn different stakeholders. Semantic interoperability is crucial in these systems because it enables unambiguous data exchange, so that different data sources can be integrated with EWS'. This chapter presents the results of our systematic literature review on EWS interoperability. The research questions targeted existing interoperable EWS' and their architecture and components' functions, emphasizing the role of data representation mechanisms, for example, data/message models, protocols and ontologies. Since semantic models rely on syntactical models, this review also includes these data representation approches. This chapter also analyzes the main issues concerning the improvement of EWS interoperability, stressing the role of the internet of Things in smart situation-aware emergency services. We conclude by proposing topics for follow-up research.
    Original languageEnglish
    Title of host publicationEnterprise Interoperability
    Subtitle of host publicationSmart Services and Business Impact of Enterprise Interoperability
    Pages407 - 413
    Number of pages7
    ISBN (Print)9781786303738
    Publication statusPublished - 30 Aug 2018
    EventInteroperability for Enterprise Systems and Applications, I-ESA 2018 - Berlin, Germany
    Duration: 22 Mar 201823 Mar 2018


    ConferenceInteroperability for Enterprise Systems and Applications, I-ESA 2018
    Abbreviated titleI-ESA
    Internet address


    • Enterprise Interoperability


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