D-Index & Metrics Best Publications
Sebastian Rudolph

Sebastian Rudolph

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 31 Citations 5,996 147 World Ranking 7864 National Ranking 387

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Programming language
  • Algebra

Sebastian Rudolph mostly deals with Description logic, Information retrieval, Semantic Web, Artificial intelligence and Decidability. His study in Description logic is interdisciplinary in nature, drawing from both Fragment, Ontology language and Web Ontology Language. His studies examine the connections between Information retrieval and genetics, as well as such issues in Information needs, with regards to Database engine, Graph theory, Data structure, Search algorithm and Data model.

Sebastian Rudolph works mostly in the field of Semantic Web, limiting it down to topics relating to Ontology and, in certain cases, Concept search, as a part of the same area of interest. The concepts of his Artificial intelligence study are interwoven with issues in Programming language and Natural language processing. His studies deal with areas such as Datalog and Conjunctive query as well as Decidability.

His most cited work include:

  • Foundations of Semantic Web Technologies (447 citations)
  • EP-SPARQL: a unified language for event processing and stream reasoning (292 citations)
  • Top-k Exploration of Query Candidates for Efficient Keyword Search on Graph-Shaped (RDF) Data (240 citations)

What are the main themes of his work throughout his whole career to date?

Theoretical computer science, Description logic, Artificial intelligence, Knowledge representation and reasoning and Conjunctive query are his primary areas of study. His specific area of interest is Theoretical computer science, where Sebastian Rudolph studies Datalog. To a larger extent, Sebastian Rudolph studies Programming language with the aim of understanding Description logic.

His Artificial intelligence research includes themes of Formal concept analysis, Context and Natural language processing. His Knowledge representation and reasoning study incorporates themes from Rotation formalisms in three dimensions, Automated reasoning, Data science and Semantic Web. Sebastian Rudolph has researched Conjunctive query in several fields, including Satisfiability, Decidability, Logical consequence and Boolean conjunctive query.

He most often published in these fields:

  • Theoretical computer science (34.84%)
  • Description logic (27.15%)
  • Artificial intelligence (19.46%)

What were the highlights of his more recent work (between 2016-2021)?

  • Theoretical computer science (34.84%)
  • Description logic (27.15%)
  • Domain (7.69%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Theoretical computer science, Description logic, Domain, Discrete mathematics and Undecidable problem. He combines subjects such as Query Rewriting, Dialectic, Set, Conjecture and Conjunctive query with his study of Theoretical computer science. His biological study spans a wide range of topics, including Axiom, Path expression and Factor.

His research on Domain also deals with topics like

  • NEXPTIME, Unary operation, Web Ontology Language and Decomposition most often made with reference to Semantics,
  • Semantic reasoner and related Algorithm, Computation and Use case. His Discrete mathematics research is multidisciplinary, incorporating perspectives in Fragment, Representation and Transitive relation. His Programming language research focuses on Argumentation theory and how it connects with Formal concept analysis and Knowledge representation and reasoning.

Between 2016 and 2021, his most popular works were:

  • Neural Machine Translating from Natural Language to SPARQL (7 citations)
  • Temporally Attributed Description Logics (6 citations)
  • Succinctness and tractability of closure operator representations (6 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Programming language
  • Algebra

His primary areas of investigation include Description logic, Theoretical computer science, Undecidable problem, Semantic Web and Cardinality. Sebastian Rudolph conducts interdisciplinary study in the fields of Description logic and Cognitive science through his research. Sebastian Rudolph has included themes like Path expression and EXPTIME in his Theoretical computer science study.

The study incorporates disciplines such as Ontology, Software engineering and Production engineering in addition to Semantic Web. His Cardinality study combines topics from a wide range of disciplines, such as Satisfiability, Conjunctive query, Abox and Boolean satisfiability problem. His Decidability research integrates issues from Graph and Knowledge graph.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Foundations of Semantic Web Technologies

Pascal Hitzler;Markus Krtzsch;Sebastian Rudolph.
(2009)

1138 Citations

EP-SPARQL: a unified language for event processing and stream reasoning

Darko Anicic;Paul Fodor;Sebastian Rudolph;Nenad Stojanovic.
the web conference (2011)

479 Citations

Semantic Web: Grundlagen

Pascal Hitzler;Markus Krotzsch;Sebastian Rudolph;York Sure.
(2008)

374 Citations

Top-k Exploration of Query Candidates for Efficient Keyword Search on Graph-Shaped (RDF) Data

Thanh Tran;Haofen Wang;Sebastian Rudolph;Philipp Cimiano.
international conference on data engineering (2009)

373 Citations

OWL 2 Web Ontology Language Primer (Second Edition)

Pascal Hitzler;Markus Krotzsch;Bijan Parsia;Peter F. Patel-Schneider.
(2012)

319 Citations

Ontology-based interpretation of keywords for semantic search

Thanh Tran;Philipp Cimiano;Sebastian Rudolph;Rudi Studer.
international semantic web conference (2007)

319 Citations

Stream reasoning and complex event processing in ETALIS

Darko Anicic;Sebastian Rudolph;Paul Fodor;Nenad Stojanovic.
Social Work (2012)

201 Citations

Foundations of description logics

Sebastian Rudolph.
RW'11 Proceedings of the 7th international conference on Reasoning web: semantic technologies for the web of data (2011)

175 Citations

ELP: Tractable Rules for OWL 2

Markus Krötzsch;Sebastian Rudolph;Pascal Hitzler.
international semantic web conference (2008)

152 Citations

Walking the complexity lines for generalized guarded existential rules

Jean-François Baget;Marie-Laure Mugnier;Sebastian Rudolph;Michaël Thomazo.
international joint conference on artificial intelligence (2011)

148 Citations

Best Scientists Citing Sebastian Rudolph

Pascal Hitzler

Pascal Hitzler

Kansas State University

Publications: 101

Ian Horrocks

Ian Horrocks

University of Oxford

Publications: 47

Carsten Lutz

Carsten Lutz

University of Bremen

Publications: 46

Georg Gottlob

Georg Gottlob

University of Oxford

Publications: 40

Markus Krötzsch

Markus Krötzsch

TU Dresden

Publications: 39

Diego Calvanese

Diego Calvanese

Free University of Bozen-Bolzano

Publications: 38

Frank Wolter

Frank Wolter

University of Liverpool

Publications: 38

Thomas Eiter

Thomas Eiter

TU Wien

Publications: 37

Bernardo Cuenca Grau

Bernardo Cuenca Grau

University of Oxford

Publications: 34

Krzysztof Janowicz

Krzysztof Janowicz

University of California, Santa Barbara

Publications: 24

Franz Baader

Franz Baader

TU Dresden

Publications: 21

Axel-Cyrille Ngonga Ngomo

Axel-Cyrille Ngonga Ngomo

University of Paderborn

Publications: 20

Michael Zakharyaschev

Michael Zakharyaschev

Birkbeck, University of London

Publications: 20

Boris Motik

Boris Motik

University of Oxford

Publications: 20

Jeff Z. Pan

Jeff Z. Pan

University of Edinburgh

Publications: 20

Jens Lehmann

Jens Lehmann

University of Bonn

Publications: 19

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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