Finding the required information to succeed in the organisation of everyday study life is not always easy for a student. Ontologies are an instrument to define a domain by illustrating its concepts and thereby presenting knowledge in a structured way. In this paper, our aim is to design an ontology that is suitable for the higher education environment of a German university to build a Knowledge Graph for a conversational AI. As an application example, the Ansbach University of Applied Science is used. After a brief introduction, the paper is organised as follows. Section 2 reviews previous work of conducted ontologies within the higher education environment, whereas Section 3 outlines the methodology for developing the ontology and presents the final result. The development procedure is thereby partly based on the ontology framework provided by Stanford University (Noy & McGuinness, 2001). The presented ontology, which delivers possible classes for the development, and transferability to other universities will then be discussed in Section 4. Finally, the conclusion and approaches for future work with ensuring a constant up-to-dateness of the classes are given in Section 5.

Authors:
Betiel Woldai, University of Applied Science Ansbach, Germany
Sudarshan Kamath Barkur, University of Applied Science Ansbach, Germany
Sophie Henne, University of Applied Science Ansbach, Germany
Sigurd Schacht, University of Applied Science Ansbach, Germany
Elena Schmid, University of Applied Science Ansbach, Germany

About the Presenter(s)
Ms Betiel Woldai is a University Doctoral Student at University of Applied Science Ansbach in Germany

See this presentation on the full schedule – Thursday Schedule

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