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Contributions to Proceedings:

M. Smajevic, D. Bork:
"From Conceptual Models to Knowledge Graphs: A Generic Model Transformation Platform";
accepted for publication in: "2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) - Tools & Demonstrations Track", issued by: ACM/IEEE; IEEE Xplore Digital Library, USA, 2021.



English abstract:
Semantic processing of conceptual models is a focus of research since several years, bridging the disciplines of knowledge-based systems, conceptual modeling, and model-driven software engineering. With the uptake of Knowledge Graphs, the research in this area gained further momentum. In this paper, we introduce a generic and extensible platform that enables the automated transformation of conceptual models into Knowledge Graphs. The platform can transform any model created by a state-of-the-art metamodeling platform (EMF and ADOxx) into standardized Knowledge Graph representations like GraphML, RDF, and OWL. In the paper at hand, we introduce our platform and evaluate it with a corpus of 5.000 UML models that we transform into Knowledge Graphs and subsequently exemplify the rich functionalities enabled by the graph structure by an automated detection of UML model smells.

Keywords:
Knowledge Graph, Modeling tool, Code smells, Model refactoring, Model transformation


Electronic version of the publication:
https://publik.tuwien.ac.at/files/publik_297025.pdf


Created from the Publication Database of the Vienna University of Technology.