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Computer Science
Germany
2023

D-Index & Metrics

Computer Science

D-Index
64
Citations
27988
World Ranking
2524
National Ranking
109

Research.com Recognitions

  • 2023 - Research.com Computer Science in Germany Leader Award

Overview

Jens Lehmann is affiliated with the University of Bonn in Germany and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence. Their body of research includes a strong emphasis on advanced graph neural networks, natural language processing techniques, and topic modeling.

Their recent publications showcase a range of topics within knowledge graph research and machine learning. Notable papers include:

  • PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings, 2020, arXiv (Cornell University)
  • Trans4E: Link prediction on scholarly knowledge graphs, 2021, Neurocomputing
  • Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Introduction to neural network-based question answering over knowledge graphs, 2021, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
  • SGPT: A Generative Approach for SPARQL Query Generation From Natural Language Questions, 2022, IEEE Access

Jens Lehmann collaborates frequently with several co-authors, including Sahar Vahdati, Mojtaba Nayyeri, Md Rashad Al Hasan Rony, Chengjin Xu, and Ricardo Usbeck. Collaboration counts with these co-authors range from 11 to 35 joint publications.

Their research has been published predominantly in venues such as arXiv (Cornell University), IEEE Access, and Lecture Notes in Computer Science. Other venues include Journal der Juristischen Zeitgeschichte and Zenodo (CERN European Organization for Nuclear Research).

The main fields of study encompass:

  • Computer Science

Within computer science, their subfields of study include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Management Science and Operations Research
  • Molecular Biology
  • Information Systems

Research topics covered in their work incorporate:

  • Topic Modeling
  • Advanced Graph Neural Networks
  • Natural Language Processing Techniques
  • Data Quality and Management
  • Semantic Web and Ontologies
  • Speech and dialogue systems
  • Bioinformatics and Genomic Networks

Best Publications

  • DBpedia: a nucleus for a web of open data

    Sören Auer;Christian Bizer;Georgi Kobilarov;Jens Lehmann

  • DBpedia - A Large-scale, Multilingual Knowledge Base Extracted from Wikipedia

    Jens Lehmann;Robert Isele;Max Jakob;Anja Jentzsch

  • DBpedia - A crystallization point for the Web of Data

    Christian Bizer;Jens Lehmann;Georgi Kobilarov;Sören Auer

  • Quality assessment for Linked Data: A Survey

    Amrapali Zaveri;Anisa Rula;Andrea Maurino;Ricardo Pietrobon

  • Template-based question answering over RDF data

    Christina Unger;Lorenz Bühmann;Jens Lehmann;Axel-Cyrille Ngonga Ngomo

  • OntoWiki: A Tool for Social, Semantic Collaboration.

    Sören Auer;Sebastian Dietzold;Jens Lehmann;Thomas Riechert

  • LinkedGeoData: A core for a web of spatial open data

    Claus Stadler;Jens Lehmann;Konrad Höffner;Sören Auer

  • Triplify: light-weight linked data publication from relational databases

    Sören Auer;Sebastian Dietzold;Jens Lehmann;Sebastian Hellmann

  • DBpedia SPARQL benchmark: performance assessment with real queries on real data

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

  • LinkedGeoData: Adding a Spatial Dimension to the Web of Data

    Sören Auer;Jens Lehmann;Sebastian Hellmann

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

    Sören Auer;Jens Lehmann

  • Test-driven evaluation of linked data quality

    Dimitris Kontokostas;Patrick Westphal;Sören Auer;Sebastian Hellmann

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

    Denis Lukovnikov;Asja Fischer;Jens Lehmann;Sören Auer

  • Assessing linked data mappings using network measures

    Christophe Guéret;Paul Groth;Claus Stadler;Jens Lehmann

  • Integrating NLP Using Linked Data

    Sebastian Hellmann;Jens Lehmann;Sören Auer;Martin Brümmer

  • How Complex Is Your Classification Problem?: A Survey on Measuring Classification Complexity

    Ana C. Lorena;Luís P. F. Garcia;Jens Lehmann;Marcilio C. P. Souto

  • Survey on challenges of Question Answering in the Semantic Web

    Konrad Höffner;Sebastian Walter;Edgard Marx;Ricardo Usbeck

  • Concept learning in description logics using refinement operators

    Jens Lehmann;Pascal Hitzler

  • LC-QuAD: A Corpus for Complex Question Answering over Knowledge Graphs

    Priyansh Trivedi;Gaurav Maheshwari;Mohnish Dubey;Jens Lehmann

  • Introduction to linked data and its lifecycle on the web

    Sören Auer;Jens Lehmann;Axel-Cyrille Ngonga Ngomo;Amrapali Zaveri

  • LODStats --- an extensible framework for high-performance dataset analytics

    Sören Auer;Jan Demter;Michael Martin;Jens Lehmann

Frequent Co-Authors

Sören Auer
Sören Auer University of Hannover
Axel-Cyrille Ngonga Ngomo
Axel-Cyrille Ngonga Ngomo University of Paderborn
Pascal Hitzler
Pascal Hitzler Kansas State University
Christian Bizer
Christian Bizer University of Mannheim
Volker Tresp
Volker Tresp Ludwig-Maximilians-Universität München
Paul Groth
Paul Groth University of Amsterdam
Elena Simperl
Elena Simperl King's College London
Jeff Z. Pan
Jeff Z. Pan University of Edinburgh
Axel Polleres
Axel Polleres Vienna University of Economics and Business

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