Principal Scientist
Amazon Alexa AI
Principal Investigator ScaDS.AI, TU Dresden
Member of Institute for Applied Informatics, Dresden / Leipzig
Profiles: LinkedIn, Google Scholar, DBLP, Web-ID
Office
Amazon Office: Großenhainer Str. 5a, 01097 Dresden
InfAI: Schnorrstraße 70, 01069 Dresden
Short CV
Jens Lehmann (http://www.jens-lehmann.org) works full time as a principal scientist at Amazon Alexa AI. He also leads the „Smart Data Analytics“ research group with his affiliated senior researchers at InfAI and TU Dresden as well as his PhD students. Previously, he was a lead scientist for Conversational AI and Knowledge Graphs at Fraunhofer IAIS and a full professor (W3) at the University of Bonn. His research interests involve Semantic Web, machine learning, question answering & dialogue systems, distributed computing and knowledge representation. Please see his website for more details.
Research Interests
- Machine Learning
- Semantic Web & Knowledge Graphs
- Conversational AI
Publications
2009
Ideal Downward Refinement in the EL Description Logic Technical Report
University of Leipzig 2009.
Ideal Downward Refinement in the textbackslashemphEL Description Logic Inproceedings
In: Inductive Logic Programming, 19th International Conference, ILP 2009, Leuven, Belgium, July 02-04, 2009. Revised Papers, pp. 73–87, Springer, 2009.
Semantische Mashups auf Basis Vernetzter Daten Incollection
In: Social Semantic Web: Web 2.0 - Was nun?, pp. 259–286, Springer, 2009, ISBN: 978-3-540-72215-1.
2008
DBpedia Navigator Inproceedings
In: ISWC Semantic Challenge Proceedings, 2008, (Semantic Web Challenge, International Semantic Web Conference 2008).
2007
A Refinement Operator Based Learning Algorithm for the ALC Description Logic Technical Report
University of Leipzig 2007, (Best Student Paper Award).
Discovering Unknown Connections - the DBpedia Relationship Finder Inproceedings
In: The Social Semantic Web 2007, Proceedings of the 1st Conference on Social Semantic Web (CSSW), September 26-28, 2007, Leipzig, Germany, pp. 99–109, GI, 2007.
SWORE - SoftWiki Ontology for Requirements Engineering Inproceedings
In: The Social Semantic Web 2007, Proceedings of the 1st Conference on Social Semantic Web (CSSW), September 26-28, 2007, Leipzig, Germany, pp. 111–118, GI, 2007.
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.
Foundations of Refinement Operators for Description Logics Inproceedings
In: Inductive Logic Programming, 17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007, Revised Selected Papers, pp. 161–174, Springer, 2007.
Hybrid Learning of Ontology Classes Inproceedings
In: Machine Learning and Data Mining in Pattern Recognition, 5th International Conference, MLDM 2007, Leipzig, Germany, July 18-20, 2007, Proceedings, pp. 883–898, Springer, 2007.
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.
Towards Semantic based Requirements Engineering Inproceedings
In: Proceedings of the 7th International Conference on Knowledge Management (I-KNOW), 2007.
Semantisch unterstütztes Requirements Engineering Inproceedings
In: Proceedings of the SABRE-07 SoftWiki Workshop, 2007.
A Refinement Operator Based Learning Algorithm for the textbackslashemphALC Description Logic Inproceedings
In: Inductive Logic Programming, 17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007, Revised Selected Papers, pp. 147–160, Springer, 2007.
OntoWiki: A Tool for Social, Semantic Collaboration Inproceedings
In: Proceedings of the Workshop on Social and Collaborative Construction of Structured Knowledge (CKC 2007) at the 16th International World Wide Web Conference (WWW2007) Banff, Canada, May 8, 2007, CEUR-WS.org, 2007.