Nature-Inspired Machine Learning (NIMI)

PhD Supervisor

Nature-Inspired Machine Learning (NIMI)

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.

35 entries « 6 of 7 »

2020

Say, Zeynep; Fathalla, Said; Vahdati, Sahar; Lehmann, Jens; Auer, Sören

Ontology Design for Pharmaceutical Research Outcomes Proceedings Article

In: Hall, Mark M.; Mercun, Tanja; Risse, Thomas; Duchateau, Fabien (Ed.): Digital Libraries for Open Knowledge - 24th International Conference on Theory and Practice of Digital Libraries, TPDL 2020, Lyon, France, August 25-27, 2020, Proceedings, pp. 119–132, Springer, 2020.

BibTeX | Links:

Nayyeri, Mojtaba; Vahdati, Sahar; Zhou, Xiaotian; Yazdi, Hamed Shariat; Lehmann, Jens

Embedding-Based Recommendations on Scholarly Knowledge Graphs Proceedings Article

In: Harth, Andreas; Kirrane, Sabrina; Ngomo, Axel-Cyrille Ngonga; Paulheim, Heiko; Rula, Anisa; Gentile, Anna Lisa; Haase, Peter; Cochez, Michael (Ed.): The Semantic Web - 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31-June 4, 2020, Proceedings, pp. 255–270, Springer, 2020.

BibTeX | Links:

Say, Aysegul; Fathalla, Said; Vahdati, Sahar; Lehmann, Jens; Auer, Sören

Semantic Representation of Physics Research Data Proceedings Article

In: Aveiro, David; Dietz, Jan L. G.; Filipe, Joaquim (Ed.): Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2020, Volume 2: KEOD, Budapest, Hungary, November 2-4, 2020, pp. 64–75, SCITEPRESS, 2020.

BibTeX | Links:

Nayyeri, Mojtaba; Zhou, Xiaotian; Vahdati, Sahar; Izanloo, Reza; Yazdi, Hamed Shariat; Lehmann, Jens

Let the Margin SlidE(^mbox(±)) for Knowledge Graph Embeddings via a Correntropy Objective Function Proceedings Article

In: 2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020, pp. 1–9, IEEE, 2020.

BibTeX | Links:

Nayyeri, Mojtaba; Xu, Chengjin; Vahdati, Sahar; Vassilyeva, Nadezhda; Sallinger, Emanuel; Yazdi, Hamed Shariat; Lehmann, Jens

Fantastic Knowledge Graph Embeddings and How to Find the Right Space for Them Proceedings Article

In: Pan, Jeff Z.; Tamma, Valentina A. M.; d'Amato, Claudia; Janowicz, Krzysztof; Fu, Bo; Polleres, Axel; Seneviratne, Oshani; Kagal, Lalana (Ed.): The Semantic Web - ISWC 2020 - 19th International Semantic Web Conference, Athens, Greece, November 2-6, 2020, Proceedings, Part I, pp. 438–455, Springer, 2020.

BibTeX | Links:

35 entries « 6 of 7 »

Prof. Dr. Jens Lehmann

PhD Supervisor

Nature-Inspired Machine Learning (NIMI)

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.

35 entries « 6 of 7 »

2020

Say, Zeynep; Fathalla, Said; Vahdati, Sahar; Lehmann, Jens; Auer, Sören

Ontology Design for Pharmaceutical Research Outcomes Proceedings Article

In: Hall, Mark M.; Mercun, Tanja; Risse, Thomas; Duchateau, Fabien (Ed.): Digital Libraries for Open Knowledge - 24th International Conference on Theory and Practice of Digital Libraries, TPDL 2020, Lyon, France, August 25-27, 2020, Proceedings, pp. 119–132, Springer, 2020.

BibTeX | Links:

Nayyeri, Mojtaba; Vahdati, Sahar; Zhou, Xiaotian; Yazdi, Hamed Shariat; Lehmann, Jens

Embedding-Based Recommendations on Scholarly Knowledge Graphs Proceedings Article

In: Harth, Andreas; Kirrane, Sabrina; Ngomo, Axel-Cyrille Ngonga; Paulheim, Heiko; Rula, Anisa; Gentile, Anna Lisa; Haase, Peter; Cochez, Michael (Ed.): The Semantic Web - 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31-June 4, 2020, Proceedings, pp. 255–270, Springer, 2020.

BibTeX | Links:

Say, Aysegul; Fathalla, Said; Vahdati, Sahar; Lehmann, Jens; Auer, Sören

Semantic Representation of Physics Research Data Proceedings Article

In: Aveiro, David; Dietz, Jan L. G.; Filipe, Joaquim (Ed.): Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2020, Volume 2: KEOD, Budapest, Hungary, November 2-4, 2020, pp. 64–75, SCITEPRESS, 2020.

BibTeX | Links:

Nayyeri, Mojtaba; Zhou, Xiaotian; Vahdati, Sahar; Izanloo, Reza; Yazdi, Hamed Shariat; Lehmann, Jens

Let the Margin SlidE(^mbox(±)) for Knowledge Graph Embeddings via a Correntropy Objective Function Proceedings Article

In: 2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020, pp. 1–9, IEEE, 2020.

BibTeX | Links:

Nayyeri, Mojtaba; Xu, Chengjin; Vahdati, Sahar; Vassilyeva, Nadezhda; Sallinger, Emanuel; Yazdi, Hamed Shariat; Lehmann, Jens

Fantastic Knowledge Graph Embeddings and How to Find the Right Space for Them Proceedings Article

In: Pan, Jeff Z.; Tamma, Valentina A. M.; d'Amato, Claudia; Janowicz, Krzysztof; Fu, Bo; Polleres, Axel; Seneviratne, Oshani; Kagal, Lalana (Ed.): The Semantic Web - ISWC 2020 - 19th International Semantic Web Conference, Athens, Greece, November 2-6, 2020, Proceedings, Part I, pp. 438–455, Springer, 2020.

BibTeX | Links:

35 entries « 6 of 7 »

Publications

PhD Supervisor

Nature-Inspired Machine Learning (NIMI)

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.

35 entries « 6 of 7 »

2020

Say, Zeynep; Fathalla, Said; Vahdati, Sahar; Lehmann, Jens; Auer, Sören

Ontology Design for Pharmaceutical Research Outcomes Proceedings Article

In: Hall, Mark M.; Mercun, Tanja; Risse, Thomas; Duchateau, Fabien (Ed.): Digital Libraries for Open Knowledge - 24th International Conference on Theory and Practice of Digital Libraries, TPDL 2020, Lyon, France, August 25-27, 2020, Proceedings, pp. 119–132, Springer, 2020.

BibTeX | Links:

Nayyeri, Mojtaba; Vahdati, Sahar; Zhou, Xiaotian; Yazdi, Hamed Shariat; Lehmann, Jens

Embedding-Based Recommendations on Scholarly Knowledge Graphs Proceedings Article

In: Harth, Andreas; Kirrane, Sabrina; Ngomo, Axel-Cyrille Ngonga; Paulheim, Heiko; Rula, Anisa; Gentile, Anna Lisa; Haase, Peter; Cochez, Michael (Ed.): The Semantic Web - 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31-June 4, 2020, Proceedings, pp. 255–270, Springer, 2020.

BibTeX | Links:

Say, Aysegul; Fathalla, Said; Vahdati, Sahar; Lehmann, Jens; Auer, Sören

Semantic Representation of Physics Research Data Proceedings Article

In: Aveiro, David; Dietz, Jan L. G.; Filipe, Joaquim (Ed.): Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2020, Volume 2: KEOD, Budapest, Hungary, November 2-4, 2020, pp. 64–75, SCITEPRESS, 2020.

BibTeX | Links:

Nayyeri, Mojtaba; Zhou, Xiaotian; Vahdati, Sahar; Izanloo, Reza; Yazdi, Hamed Shariat; Lehmann, Jens

Let the Margin SlidE(^mbox(±)) for Knowledge Graph Embeddings via a Correntropy Objective Function Proceedings Article

In: 2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020, pp. 1–9, IEEE, 2020.

BibTeX | Links:

Nayyeri, Mojtaba; Xu, Chengjin; Vahdati, Sahar; Vassilyeva, Nadezhda; Sallinger, Emanuel; Yazdi, Hamed Shariat; Lehmann, Jens

Fantastic Knowledge Graph Embeddings and How to Find the Right Space for Them Proceedings Article

In: Pan, Jeff Z.; Tamma, Valentina A. M.; d'Amato, Claudia; Janowicz, Krzysztof; Fu, Bo; Polleres, Axel; Seneviratne, Oshani; Kagal, Lalana (Ed.): The Semantic Web - ISWC 2020 - 19th International Semantic Web Conference, Athens, Greece, November 2-6, 2020, Proceedings, Part I, pp. 438–455, Springer, 2020.

BibTeX | Links:

35 entries « 6 of 7 »

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