Ontology-Driven Conceptual Modeling for Early Warning Systems: Redesigning the Situation Modeling Language

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    Abstract

    An early warning system (EWS) is an integrated system that supports the detection, monitoring and alerting of emergency situations. A possible application of an EWS is in epidemiological surveillance, to detect infectious disease outbreaks in geographical areas. In this scenario, a challenge in the development and integration of applications on top of EWS is to achieve common understanding between epidemiologists and software developers, allowing the specification of rules resulted from epidemiological studies. To address this challenge this paper describes an ontology-based model-driven engineering (MDE) framework that relies on the Situation Modelling Language (SML), a knowledge specification technique for situation identification. Some requirements are realized by revisiting SML, which resulted in a complete redesign of its semantics, abstract and concrete syntaxes. The initial validation shows that our framework can accelerate the generation of high quality situation-aware applica tions, being suitable for other application scenarios.
    Original languageEnglish
    Title of host publicationMODELSWARD 2017
    Subtitle of host publicationproceedings of the 5th intrnational conference on Model-Driven Engineering and Software Development: Porto, Portugal, February 19-21, 2017
    EditorsLuis Ferreira Pires, Slimane Hammoudi, Bran Selic
    Place of PublicationSétubal
    PublisherSCITEPRESS
    Pages467-477
    Number of pages11
    ISBN (Print)978-989-758-210-3
    DOIs
    Publication statusPublished - 27 Feb 2017

    Keywords

    • Early Warning System
    • Public Health Surveillance
    • Situation Modelling Language
    • Events Processing

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  • Cite this

    Moreira, J. L., Ferreira Pires, L., van Sinderen, M. J., & Dockhorn Costa, P. (2017). Ontology-Driven Conceptual Modeling for Early Warning Systems: Redesigning the Situation Modeling Language. In L. F. Pires, S. Hammoudi, & B. Selic (Eds.), MODELSWARD 2017: proceedings of the 5th intrnational conference on Model-Driven Engineering and Software Development: Porto, Portugal, February 19-21, 2017 (pp. 467-477). Sétubal: SCITEPRESS. https://doi.org/10.5220/0006208904670477