Prof. Dr. Sören Auer

Member of Extended Board of Directors

auer@l3s.de
+49 511 762-2405
Address

Prof. Dr. Sören Auer

Member of Extended Board of Directors

Sören Auer is Director of the TIB in Hanover as well as Head of the research group Data Science and Digital Libraries.

Research Focus

Sören Auer’s research focus – with special attention on semantic data interlinking for artificial intelligence – are in the following areas:

  • Data Science, Artificial Intelligence, Knowledge Representation, Engineering & Management
  • Information Systems, Databases, Data Integration, Linked Data, Semantic and Web Technologies
  • Software and Systems Engineering, data-driven Platforms, Web Engineering
  • Enterprise Integration, Semantically enhanced Service Oriented Architectures
  • Digital Libraries, E-Science, Science Governance, Peer-Review, Open Access
  • Semantic Data Integration for Engineering & Manufacturing (Industry 4.0), Mobility and Built Environment (Smart Cities), Digital Libraries & Research Infrastructures
Publications

For a list of Sören Auer’s publications, please visit his Google Scholar page.

Curriculum Vitae

Following stations at the universities of Dresden, Ekaterinburg, Leipzig, Pennsylvania, Bonn and the Fraunhofer Society, Sören Auer was appointed Professor of Data Science and Digital Libraries at Leibniz Universität Hannover and Director of the TIB in 2017.

Prof. Auer has made important contributions to semantic technologies, knowledge engineering and information systems. He has led several large collaborative research projects, such as the EU H2020 flagship project BigDataEurope.

Sören Auer was founding director of the Big Data Value Association, led the semantic data representation in the Industrial/International Data Space, is an expert for industry, European Commission, W3C, the German National Research Data Infrastructure (NFDI) and the European Open Science Cloud (EOSC).

Current projects at L3S

AkEvAp

AkEvAp

The AkEvAp project aims to develop an automated evaluation method based on real-time camera data to improve ergonomics at workplaces in logistics.
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Open Research Knowledge Graph (ORKG)

Open Research Knowledge Graph (ORKG)

ORKG empowers researchers by making knowledge accessible. Discover relevant contributions, explore cutting-edge research, and foster interdisciplinary collaboration.
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Logo OER with Ukraine_Informatics

OER with Ukraine_Informatics

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Generating Machine-actionable Agroecological Knowledge

Generating Machine-actionable Agroecological Knowledge

Conducting Science in the 21st Century: A Case Study for Machine-actionable Scientific Literature in Agroecology
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Leibniz AI Academy

Leibniz AI Academy

Development and establishment of a transcurricular, cross-disciplinary micro-degree program "Leibniz AI Academy" at Leibniz Universität Hannover (LUH).
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GLACIATION

GLACIATION

GLACIATION aims to reduce carbon emissions by developing a distributed knowledge graph that improves the efficiency of big data analysis.
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BRAINE

BRAINE

The BRAINE project aims to develop energy-efficient hardware and AI software systems for edge computing. Advantages: reduced latency, secure decentralized processing and storage, adaption to underlying applications.
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ScienceGRAPH

ScienceGRAPH

Education
ScienceGRAPH aims to develop a novel principled model for representing scholarly communication in a knowledge-based way by using interlinked knowledge graphs.
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MediaFutures

MediaFutures

Other projects
MediaFutures will set up a virtual and European data-driven innovation hub for projects to reshape the media value chain through innovative uses of data.
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