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Enhancing Research Clarity: Ontology-Based Modeling of Argumentation in RPML

  • Knut Hinkelmann,
  • Valeriia Afonina,
  • Devid Montecchiari

摘要

Navigating the research process, from problem identification to argumentation construction, challenges novice researchers. This study introduces RPML (Research Problem Modeling Language), a metamodel and ontology designed to address these challenges by visually representing key aspects of research argumentation. RPML enhances clarity and coherence in research discourse by providing researchers with a visual representation of argumentation for a research problem. RPML is represented as a specialization of the OMG Business Motivation Model and Toulmin’s argumentation model approach. This enables researchers to gain a comprehensive overview of their research projects, identify research problems, build robust argumentation, and select suitable research strategies.