World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
5557
World Ranking
9855
National Ranking
491

Overview

Ralf Schenkel is affiliated with the University of Trier in Germany. Their research is centered in the field of Computer Science, with a significant focus on several specialized areas.

The main subfields of study include:

  • Artificial Intelligence
  • Information Systems
  • Management Science and Operations Research
  • Computer Networks and Communications
  • Molecular Biology

Their primary topics of work encompass:

  • Topic Modeling
  • Semantic Web and Ontologies
  • Natural Language Processing Techniques
  • Data Quality and Management
  • Advanced Text Analysis Techniques
  • Multi-Agent Systems and Negotiation
  • Software Engineering Research

Frequent publication venues for Schenkel's work include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Datenbank-Spektrum
  • International Journal on Digital Libraries
  • Scientometrics

Selected recent publications illustrate the scope and direction of their research:

  • "Scientific paper recommendation systems: a literature review of recent publications," 2022, International Journal on Digital Libraries
  • "Towards an Argument Mining Pipeline Transforming Texts to Argument Graphs," 2020, arXiv (Cornell University)
  • "SchenQL: in-depth analysis of a query language for bibliographic metadata," 2021, International Journal on Digital Libraries
  • "Evaluating semantometrics from computer science publications," 2020, Scientometrics
  • "Same Side Stance Classification Task: Facilitating Argument Stance Classification by Fine-tuning a BERT Model," 2020, arXiv (Cornell University)

Their frequent collaborators in research include:

  • Christin Katharina Kreutz
  • Lorik Dumani
  • Premtim Sahitaj
  • Ralph Bergmann
  • Tobias Zeimetz

Best Publications

  • FedX: optimization techniques for federated query processing on linked data

    Andreas Schwarte;Peter Haase;Katja Hose;Ralf Schenkel

  • Top-k query evaluation with probabilistic guarantees

    Martin Theobald;Gerhard Weikum;Ralf Schenkel

  • Efficient top-k querying over social-tagging networks

    Ralf Schenkel;Tom Crecelius;Mouna Kacimi;Sebastian Michel

  • HOPI: An efficient connection index for complex XML document collections

    Ralf Schenkel;Anja Theobald;Gerhard Weikum

  • IO-Top-k: index-access optimized top-k query processing

    Holger Bast;Debapriyo Majumdar;Ralf Schenkel;Martin Theobald

  • An efficient and versatile query engine for TopX search

    Martin Theobald;Ralf Schenkel;Gerhard Weikum

  • The SphereSearch engine for unified ranked retrieval of heterogeneous XML and web documents

    Jens Graupmann;Ralf Schenkel;Gerhard Weikum

  • YAWN: A Semantically Annotated Wikipedia XML Corpus

    Ralf Schenkel;Fabian M. Suchanek;Gjergji Kasneci

  • Partout: a distributed engine for efficient RDF processing

    Luis Galárraga;Katja Hose;Ralf Schenkel

  • RankReduce - processing K-nearest Neighbor Queries on Top of MapReduce

    Aleksandar Stupar;Sebastian Michel;Ralf Schenkel

  • Efficient creation and incremental maintenance of the HOPI index for complex XML document collections

    R. Schenkel;A. Theobald;G. Weikum

  • TopX: efficient and versatile top-k query processing for semistructured data

    Martin Theobald;Holger Bast;Debapriyo Majumdar;Ralf Schenkel

  • Language-model-based ranking for queries on RDF-graphs

    Shady Elbassuoni;Maya Ramanath;Ralf Schenkel;Marcin Sydow

  • WARP: Workload-aware replication and partitioning for RDF

    K. Hose;R. Schenkel

  • FedX: a federation layer for distributed query processing on linked open data

    Andreas Schwarte;Peter Haase;Katja Hose;Ralf Schenkel

  • Exploiting social relations for query expansion and result ranking

    M. Bender;T. Crecelius;M. Kacimi;S. Michel

  • Exploiting Structure, Annotation, and Ontological Knowledge for Automatic Classification of XML Data

    Martin Theobald;Ralf Schenkel;Gerhard Weikum;Vassilis Christophides

  • Efficient text proximity search

    Ralf Schenkel;Andreas Broschart;Seungwon Hwang;Martin Theobald

  • Searching RDF Graphs with SPARQL and Keywords

    Shady Elbassuoni;Maya Ramanath;Ralf Schenkel;Gerhard Weikum

  • Efficient and self-tuning incremental query expansion for top-k query processing

    Martin Theobald;Ralf Schenkel;Gerhard Weikum

  • The SphereSearch Engine for Unified Ranked Retrieval of Heterogeneous XML and Web Documents

    Jens Graupmann;Ralf Schenkel;Gerhard Weikum;Klemens Böhm

  • IO-Top-k: Index-Access Optimized Top-k Query Processing

    Holger Bast;Debapriyo Majumdar;Ralf Schenkel;Martin Theobald

  • Top-k Query Evaluation with Probabilistic Guarantees

    Martin Theobald;Gerhard Weikum;Ralf Schenkel;Mario A. Nascimento

  • An Efficient and Versatile Query Engine for TopX Search

    Martin Theobald;Ralf Schenkel;Gerhard Weikum;Klemens Böhm

Frequent Co-Authors

Gerhard Weikum
Gerhard Weikum Max Planck Institute for Informatics
Jaap Kamps
Jaap Kamps University of Amsterdam
Gabriella Kazai
Gabriella Kazai Microsoft (United States)
Thomas Neumann
Thomas Neumann Technical University of Munich
Norbert Fuhr
Norbert Fuhr University of Duisburg-Essen
Andreas Harth
Andreas Harth University of Erlangen-Nuremberg
Fabian M. Suchanek
Fabian M. Suchanek Télécom ParisTech
Marko Grobelnik
Marko Grobelnik Jožef Stefan Institute
Ioana Manolescu
Ioana Manolescu French Institute for Research in Computer Science and Automation - INRIA

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