Axel Polleres

Professor in Data and Knowledge Management
Alex Polleres

Axel Polleres

Professor in Data and Knowledge Management
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Axel Polleres heads the Institute of Information Business of Vienna University of Economics and Business (WU Wien) which he joined in Sept 2013 as a full professor in the area of “Data and Knowledge Engineering”. Since January 2017 he is also a member of the Complexity Science Hub Vienna Faculty. He obtained his Ph.D. 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/acted as editorial board member for JWS, SWJ and IJSWIS. Moreover, he actively contributed to international standardisation efforts within the World Wide Web Consortium (W3C) where he co-chaired the W3C SPARQL working group.

At MyData 2017, Axel will talk about the EU project SPECIAL (Scalable Policy-awarE linked data arChitecture for prIvacy, trAnsparency and compLiance):

the project aims to address the contradiction between Big Data innovation and privacy-aware data protection by proposing a technical

solution that makes both of these goals realistic. With the new data protection framework in Europe, consent and transparency in favour of the

users of services becomes increasingly important. Therefore, SPECIAL aims to develop a:

  • Policy management framework which gives users control of their personal data and represents data access and usage policies in machine readable, yet auditable format;
  • Transparency and compliance framework which provides information on how data is processed and with whom it is shared, allowing data subjects to take corrective action;
  • Scalable policy-aware Linked Data architecture which builds on top of the Big Data Europe (BDE) platform scalability and elasticity mechanisms, extending it with robust policy, transparency and compliance protocols.

SPECIAL shall enable citizens and organisations to share more data, while guaranteeing data

protection compliance, thus enabling both trust and the creation of valuable new insights from shared data. For more details, see:

All session by Axel Polleres