Enhancing research clarity. Ontology-based modeling of argumentation in RPML
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Author (Corporation)
Publication date
2024
Typ of student thesis
Course of study
Collections
Type
04B - Conference paper
Editor (Corporation)
Supervisor
Parent work
Advanced information systems engineering workshops
Special issue
DOI of the original publication
Link
Series
Lecture Notes in Business Information Processing
Series number
521
Volume
Issue / Number
Pages / Duration
85-96
Patent number
Publisher / Publishing institution
Springer
Place of publication / Event location
Limassol
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
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.
Keywords
Subject (DDC)
Event
CAiSE 2024 International Workshops
Exhibition start date
Exhibition end date
Conference start date
03.06.2024
Conference end date
07.06.2024
Date of the last check
ISBN
978-3-031-61002-8
978-3-031-61003-5
978-3-031-61003-5
ISSN
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Closed
License
Citation
Hinkelmann, K., Afonina, V., & Montecchiari, D. (2024). Enhancing research clarity. Ontology-based modeling of argumentation in RPML. In J. P. A. Almeida, C. Di Ciccio, & C. Kalloniatis (Eds.), Advanced information systems engineering workshops (pp. 85–96). Springer. https://doi.org/10.1007/978-3-031-61003-5_8