PRISM: A knowledge engineering tool to model collective behaviors of real-time IoT systems

  • Maryam Rahmani
  • , Junsup Song
  • , Moonkun Lee

    Research output: Contribution to journalConference articlepeer-review

    Abstract

    This paper presents a knowledge engineering tool, called PRISM, to model collective behaviors of real-time IoT systems. PRISM is developed on the ADOxx Meta-Modeling Platform, in order to implement the new notion of a domain engineering method, known as behavior ontology. In PRISM, the on-tology can be constructed as follows: 1) All the collective behaviors for a do-main are defined from active ontology, 2) the behaviors are formed in a quanti-fiably abstracted lattice, called n:2-Lattice, and 3) a behavior ontology for the domain can be constructed by merging the n:2-lattices into an integrated lattice. Once the ontology is constructed, each system in the domain can be interpreted with respect to the ontology or lattice. In the paper, the Emergency Medical Service (EMS) domain and a smart IoT example for EMS are selected for mod-eling and interpretation in PRISM. PRISM shows an innovative approach for meta-modeling of domain knowledge as a tool.

    Original languageEnglish
    JournalCEUR Workshop Proceedings
    Volume1999
    StatePublished - 2017
    Event1st International Workshop on Practicing Open Enterprise Modeling within OMiLAB, PrOse 2017 - Leuven, Belgium
    Duration: 2017.11.22 → …

    Keywords

    • ADOxx
    • Behavior ontology
    • Collective behavior
    • Lattice
    • PRISM

    Quacquarelli Symonds(QS) Subject Topics

    • Computer Science & Information Systems

    Fingerprint

    Dive into the research topics of 'PRISM: A knowledge engineering tool to model collective behaviors of real-time IoT systems'. Together they form a unique fingerprint.

    Cite this