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DELFI 2020 Workshops

https://dl.gi.de/handle/20.500.12116/34570
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Auflistung DELFI 2020 Workshops nach Schlagwort "competence modelling"

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  • Konferenzbeitrag
    Semantic Competence Modelling – Observations from a Hands-on Study with HyperCMP Knowledge Graphs and Implications for Modelling Strategies and Semantic Editors
    (Proceedings of DELFI Workshops 2020, 2020) Dahlmeyer, Matthias Patrick
    Following previous postulations for a global, integrated competence management system, this paper publishes and evaluates reflections from a 2019 study of hands-on semantic competence modelling. Mechanical engineering bachelor and master students explore modelling their technical domain as a study project. They use a previously derived knowledge hypergraph structure (branded herein as HyperCMP) to model key subdomains in a two-staged process. Modelling subdomain knowledge as the first stage was prioritized. In the end, deriving actual competencies had to be suspended because of the lack of a suitable modelling tool that allows managing the complexity of such a model. Observations and reflections from tool research and the modelling process are used to narrow down the profile of a proposed semantic software solution to build, maintain, and use a decentralized competence model.
  • Konferenzbeitrag
    Taxonomic Competence Modelling – Observations from a Hands-on Study and Implications for Modelling Strategies
    (Proceedings of DELFI Workshops 2020, 2020) Dahlmeyer, Matthias Patrick
    Following previous postulations for a global, integrated competence management system, this paper belatedly publishes and evaluates reflections from a 2014 study of taxonomic competence modelling. Mechanical engineering master students explore modelling their recent bachelor program as a study project. Following a systematic methodology with typical elements of a competence syntax, they encounter significant problems of inconsistency in all aspects of their data. Their reflections showcase that taxonomies are not suitable for a decentrally maintained competence model, competence levels and categories should be avoided from the core structure of a model, and both key aspects of a syntax should be kept flexible in a semantic network