Semantic Competence Modelling – Observations from a Hands-on Study with HyperCMP Knowledge Graphs and Implications for Modelling Strategies and Semantic Editors

Abstract

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.