Prof. Dr. Axel Polleres
Head of Institute
Department of Information Systems & Operations Management
Institute for Data, Process and Knowledge Management
Building D2, 3rd Floor
Welthandelsplatz 1, 1020 Wien
Consultation on Appointment
Axel Polleres joined the Institute of Data, Process and Knowledge Management of Vienna University of Economics and Business (WU Wien) in Sept 2013 as a full professor in the area of "Data and Knowledge Engineering".
He obtained his doctorate and habilitation from Vienna University of Technology and worked at University of Innsbruck, Austria, Universidad Rey Juan Carlos, Madrid, Spain, the Digital Enterprise Research Institute (DERI) at the National University of Ireland, Galway, and for Siemens AG's Corporate Technology Research division before joining WU Wien. His research focuses on querying and reasoning about ontologies, rules languages, logic programming, Semantic Web technologies, Web services, knowledge management, Linked Open Data, configuration technologies and their applications. He has worked in several European and national research projects in these areas.
Axel has published more than 100 articles in journals, books, and conference and workshop contributions and co-organised several international conferences and workshops in the areas of logic programming, Semantic Web, data management, Web services and related topics and acts as editorial board member for SWJ and JWS. Moreover, he actively contributed to international standardisation efforts within the World Wide Web Consortium (W3C) where he co-chaired the W3C SPARQL working group.
Querying and Reasoning about Ontologies
Semantic Web Technologies
Linked Open Data
Thesis Topics (Bachelor, Master, PhD)
WU "Open Data" Initiative - What insights can you gain from public data about your university (Bachelor & MSc)
Integrating Open Data from different sources and domains (Bachelor & MSc) e.g.:
"Sustainability" and "Quality of Life" related data from different Open Data Sources and presenting it in a Web interface.
Integrating & Analysing Music Data from Online Sources
"Confined" Linked Data (provenance, pricing models, licensing, access control in Linked Data) (MSc & PhD)
Extensions of SPARQL, e.g. combining query languages for data and processes (MSc & PhD)
Analysing Data Quality in Open Data Catalogs (Bachelor & MSc)
Query Rewriting and Optimisation (in different settings) (MSc & PhD)
Surveying NoSQL Databases & Tools for Big Data Analytics (Bachelor & MSc)
Reasoning and Querying over Linked Data (MSc & PhD)