Profile - Prof. Dr. Jens Lehmann

Prof. Dr. Jens Lehmann

Principal Scientist, Amazon AGI (Artificial General Intelligence)

Honorary Professor at TU Dresden
Member of InfAI

Prof. Dr. Jens Lehmann is a Principal Scientist at Amazon where he works at the AGI (Artificial General Intelligence) organisation on advancing large language models, conversational AI and knowledge graphs. He also holds an honorary professorship at TU Dresden, was selected as a fellow of ELLIS and is a member of InfAI. His academic activities at TU Dresden and InfAI support the Smart Data Analytics research group. Previously, he was jointly appointed full professor at the University of Bonn and Fraunhofer IAIS leading approximately 40 researchers. In this role, he was a lead scientist at Fraunhofer IAIS and coordinated the Dresden branch of the institute. His research interests involve knowledge graphs, machine learning as well as question answering & dialogue systems. His main research goal is to investigate and build generally intelligent systems by combining knowledge- and data-driven approaches. Prof. Lehmann authored more than 200 articles in international journals and conferences winning 15 best paper awards and obtaining more than 25000 citations and h-index 60+. He is a supporter and contributor to community research projects, including DBpedia, DL-Learner and LinkedGeoData. Previously, he led the AKSW research group and completed his PhD with „summa cum laude“ at the University of Leipzig with visits to the University of Oxford.

CV in PDF: Full CV and One-Pager

Offices

Amazon

Jens Lehmann
Amazon Development Center Germany GmbH
Großenhainer Str. 5a
01097 Dresden

InfAI

Jens Lehmann c/o Nadine Jochimsen
Institut für Angewandte Informatik (InfAI)
Goerdelerring 9
04109 Leipzig

Nayyeri, Mojtaba; Vahdati, Sahar; Aykul, Can; Lehmann, Jens

5* Knowledge Graph Embeddings with Projective Transformations Inproceedings

In: Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, pp. 9064–9072, AAAI Press, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs, Top Publications | Links:

Lukovnikov, Denis; Fischer, Asja; Lehmann, Jens; Auer, Sören

Neural Network-based Question Answering over Knowledge Graphs on Word and Character Level Inproceedings

In: Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017, pp. 1211–1220, ACM, 2017.

BibTeX | Research Area: Language Models, Question Answering over Knowledge Graphs, Top Publications | Links:

Lehmann, Jens; Isele, Robert; Jakob, Max; Jentzsch, Anja; Kontokostas, Dimitris; Mendes, Pablo N.; Hellmann, Sebastian; Morsey, Mohamed; Kleef, Patrick van; Auer, Sören; Bizer, Christian

DBpedia - A large-scale, multilingual knowledge base extracted from Wikipedia Journal Article

In: Semantic Web, 6 (2), pp. 167–195, 2015, (SWJ Outstanding Paper Award 2014).

BibTeX | Research Area: Knowledge Extraction, Top Publications | Links:

Unger, Christina; Bühmann, Lorenz; Lehmann, Jens; Ngomo, Axel-Cyrille Ngonga; Gerber, Daniel; Cimiano, Philipp

Template-based question answering over RDF data Inproceedings

In: Proceedings of the 21st World Wide Web Conference 2012, WWW 2012, Lyon, France, April 16-20, 2012, pp. 639–648, ACM, 2012.

BibTeX | Research Area: Question Answering over Knowledge Graphs, Top Publications | Links:

Morsey, Mohamed; Lehmann, Jens; Auer, Sören; Ngomo, Axel-Cyrille Ngonga

DBpedia SPARQL Benchmark - Performance Assessment with Real Queries on Real Data Inproceedings

In: The Semantic Web - ISWC 2011 - 10th International Semantic Web Conference, Bonn, Germany, October 23-27, 2011, Proceedings, Part I, pp. 454–469, Springer, 2011, (ISWC Best Paper Award).

BibTeX | Research Area: Top Publications | Links:

Lehmann, Jens; Hitzler, Pascal

Concept learning in description logics using refinement operators Journal Article

In: Mach. Learn., 78 (1-2), pp. 203–250, 2010, (Based on two ILP Best Paper Awards).

BibTeX | Research Area: Concept Learning in Description Logics, Top Publications | Links:

Bizer, Christian; Lehmann, Jens; Kobilarov, Georgi; Auer, Sören; Becker, Christian; Cyganiak, Richard; Hellmann, Sebastian

DBpedia - A crystallization point for the Web of Data Journal Article

In: J. Web Semant., 7 (3), pp. 154–165, 2009, (Journal of Web Semantics 2006-2010 Award).

BibTeX | Research Area: Knowledge Extraction, Top Publications | Links:

Lehmann, Jens

DL-Learner: Learning Concepts in Description Logics Journal Article

In: J. Mach. Learn. Res., 10 , pp. 2639–2642, 2009.

BibTeX | Research Area: Concept Learning in Description Logics, Top Publications | Links:

Auer, Sören; Bizer, Christian; Kobilarov, Georgi; Lehmann, Jens; Cyganiak, Richard; Ives, Zachary G.

DBpedia: A Nucleus for a Web of Open Data Inproceedings

In: The Semantic Web, 6th International Semantic Web Conference, 2nd Asian Semantic Web Conference, ISWC 2007 + ASWC 2007, Busan, Korea, November 11-15, 2007, pp. 722–735, Springer, 2007, (ISWC 10 Year Best Paper Award).

BibTeX | Research Area: Knowledge Extraction, Top Publications | Links:

Auer, Sören; Lehmann, Jens

What Have Innsbruck and Leipzig in Common? Extracting Semantics from Wiki Content Inproceedings

In: The Semantic Web: Research and Applications, 4th European Semantic Web Conference, ESWC 2007, Innsbruck, Austria, June 3-7, 2007, Proceedings, pp. 503–517, Springer, 2007, (ESWC 7-Year Most Influential Paper Award).

BibTeX | Research Area: Knowledge Extraction, Top Publications | Links: