Faculty of Computer Science

Research Group Theoretical Computer Science

Oberseminar: Heterogene formale Methoden

Date: 2021, June 22
Time: 10:30 a. m.
Place: Online
Author: Glauer, Martin
Title: Ontology Learning


Advances in linked data enabled numerous interdisciplinary collaborations. The backbone of these data models is often built by ontologies. Yet, the manual ontology development process is often slow and labor-intensive. This raises the need for an automated way to generate ontologies. In this talk, we will look at some approaches in ontology learning, which are often based on statistical measures or linguistic analyses of large corpora of domain-specific texts. Additionally, we will discuss the influence these approaches have on the structure of the resulting ontology and compare it with what manual ontology development may yield.

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