Priv.Doz. Mag. Dr. Gerhard Wohlgenannt
WU (Vienna University of Economics and Business)
Department of Information Systems and Operations
Institute for Information Business
Building D2, 3rd Floor
Welthandelsplatz 1, 1020 Vienna, Austria
Consultation on Appointment
Gerhard Wohlgenannt is an assistant professor at the Institute of Information Business of the Vienna University of Economics and Business. He completed his PhD thesis in the field of ontology learning on a method for learning ontology relations by combining corpus-based techniques and reasoning on data from Semantic Web sources in 2010. In July 2016, he received his habilitation degree (venia docendi) in Business Informatics ("Wirtschaftsinformatik").
Gerhard Wohlgenannt participated in a number of research projects at the Vienna University of Economics and Business such as DIVINE, RAVEN, IDIOM and AVALON, where he extended the webLyzard architecture and semantic services and used his expertise in technologies such as the Python programming language and the PostgreSQL DBMS.
He recently served as project coordinator in the DIVINE project (funded by FFG), and as Co-Investigator in the uComp project (funded by EU FP7/CHIST-ERA).
Ontology Engineering and Ontology Evolution
Ontology Learning/Extension from text, social sources and structured data
Semantic (Web) Technologies / Linked Data
Information Extraction / Data Mining
Natural Language Processing, Text Mining
Human Computation (Crowdsourcing, Games with a Purpose)
see Research Interests, here you find more infos on thesis topics and completed thesis
Lectures at WU
A Python-implementation of "spectral association", a method for solving spreading activation networks in one go.