D-Index & Metrics Best Publications
Computer Science
UK
2023

D-Index & Metrics 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.

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 64 Citations 19,536 191 World Ranking 1606 National Ranking 94

Research.com Recognitions

Awards & Achievements

2023 - Research.com Computer Science in United Kingdom Leader Award

2013 - Member of Academia Europaea

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Programming language
  • Algebra

Her primary areas of investigation include Description logic, Theoretical computer science, Ontology, Semantic Web and Ontology language. Her Description logic research is multidisciplinary, incorporating elements of Discrete mathematics, Decidability, Knowledge base and Knowledge representation and reasoning. The various areas that she examines in her Decidability study include Axiom, Of the form and Extension.

Her Theoretical computer science study incorporates themes from Algorithm, Fragment and Conjunctive query. The subject of her Ontology research is within the realm of Artificial intelligence. Her work in Semantic Web covers topics such as Set which are related to areas like Vocabulary.

Her most cited work include:

  • The even more irresistible SROIQ (753 citations)
  • OWL 2: The next step for OWL (693 citations)
  • OWL 2 Web Ontology Language: structural specification and functional-style syntax (538 citations)

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

Her scientific interests lie mostly in Description logic, Theoretical computer science, Ontology, Artificial intelligence and Decidability. Her Description logic research is multidisciplinary, incorporating perspectives in Discrete mathematics, Axiom, Conjunctive query and Knowledge representation and reasoning. Her Theoretical computer science study combines topics from a wide range of disciplines, such as Algorithm, Rotation formalisms in three dimensions, Set and Transitive relation.

Her Ontology study is concerned with the field of Information retrieval as a whole. Ulrike Sattler has included themes like Data mining and Natural language processing in her Artificial intelligence study. As part of one scientific family, Ulrike Sattler deals mainly with the area of Ontology language, narrowing it down to issues related to the OWL-S, and often Semantic Web Rule Language.

She most often published in these fields:

  • Description logic (43.69%)
  • Theoretical computer science (35.92%)
  • Ontology (28.64%)

What were the highlights of her more recent work (between 2010-2019)?

  • Ontology (28.64%)
  • Artificial intelligence (19.42%)
  • Natural language processing (11.65%)

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

Her primary areas of study are Ontology, Artificial intelligence, Natural language processing, Theoretical computer science and Description logic. Her Ontology research incorporates elements of Structure and Set. Her study in Artificial intelligence is interdisciplinary in nature, drawing from both Test data and Data mining.

Her Natural language processing study also includes fields such as

  • Similarity together with Equivalence relation, Analogy and Of the form,
  • Ontology-based data integration which is related to area like OWL-S, Object-oriented programming and Java. The study incorporates disciplines such as Fragment, Locality, Axiom, Polynomial and Interval in addition to Theoretical computer science. Her work often combines Description logic and Stairs studies.

Between 2010 and 2019, her most popular works were:

  • Performance heterogeneity and approximate reasoning in description logic ontologies (37 citations)
  • Decomposition and modular structure of BioPortal ontologies (37 citations)
  • The cognitive complexity of OWL justifications (35 citations)

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

  • Artificial intelligence
  • Programming language
  • Algebra

Ulrike Sattler spends much of her time researching Artificial intelligence, Ontology, Natural language processing, Similarity and Protocol. Her research in Artificial intelligence intersects with topics in Structure, Set and Data mining. Her work deals with themes such as Semantic reasoner and Description logic, which intersect with Data mining.

Her Ontology research integrates issues from Theoretical computer science, Pairwise comparison and Data science. Ulrike Sattler incorporates Theoretical computer science and Sample in her studies. Ulrike Sattler has researched Natural language processing in several fields, including Analogy and Of the form.

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

The even more irresistible SROIQ

Ian Horrocks;Oliver Kutz;Ulrike Sattler.
principles of knowledge representation and reasoning (2006)

1236 Citations

OWL 2: The next step for OWL

Bernardo Cuenca Grau;Ian Horrocks;Boris Motik;Bijan Parsia.
Journal of Web Semantics (2008)

1153 Citations

OWL 2 Web Ontology Language: structural specification and functional-style syntax

B. Motik;P.F. Patel-Schneider;B. Parsia;C. Bock.
(2008)

1091 Citations

Description Logics as Ontology Languages for the Semantic Web

Franz Baader;Ian Horrocks;Ulrike Sattler.
Mechanizing Mathematical Reasoning (2005)

829 Citations

Practical Reasoning for Expressive Description Logics

Ian Horrocks;Ulrike Sattler;Stephan Tobies.
international conference on logic programming (1999)

805 Citations

An Overview of Tableau Algorithms for Description Logics

Franz Baader;Ulrike Sattler.
Studia Logica (2001)

670 Citations

Description logics for the semantic web

Franz Baader;Ian Horrocks;Ulrike Sattler.
Künstliche Intell. (2002)

651 Citations

Query Answering for OWL-DL with rules

Boris Motik;Ulrike Sattler;Rudi Studer.
Journal of Web Semantics (2005)

639 Citations

A tableaux decision procedure for SHOIQ

Ian Horrocks;Ulrike Sattler.
international joint conference on artificial intelligence (2005)

580 Citations

Ontology reasoning in the SHOQ(D) description logic

Ian Horrocks;Ulrike Sattler.
international joint conference on artificial intelligence (2001)

521 Citations

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