A domain-specific visual approach to semantically describe shared datasets in business ecosystems

This thesis explores using a domain-specific visual approach to facilitate creating and maintaining ontologies for data shared in digital business ecosystems. The research addresses the challenge of semantically describing data and improving the understanding and collaboration among stakeholders involved in data-sharing activities. The study includes a comprehensive literature review on data-sharing, ontologies, and related technologies. It highlights the importance of data-sharing in the industry and the benefits of ontologies in facilitating semantic integration. However, it also acknowledges the expertise required for ontology engineering and the limitations of existing standards and tools. A Design Science methodology is employed to prototype a domain-specific visual approach for ontology engineering and data-sharing. The prototype enables users to create, import, edit, and link ontologies tailored to their domain in a graphical environment. It also provides visual exploration capabilities for an enhanced understanding of the dataset.

Miccoli, Alexandre, 2023

Art der Arbeit Master Thesis
Auftraggebende
Betreuende Dozierende Laurenzi, Emanuele
Keywords
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Studiengang: Business Information Systems (Master)
Vertraulichkeit: öffentlich
Art der Arbeit
Master Thesis
Autorinnen und Autoren
Miccoli, Alexandre
Betreuende Dozierende
Laurenzi, Emanuele
Publikationsjahr
2023
Sprache der Arbeit
Englisch
Vertraulichkeit
öffentlich
Studiengang
Business Information Systems (Master)
Standort Studiengang
Olten