D-Index & Metrics Best Publications

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 62 Citations 25,888 236 World Ranking 1356 National Ranking 13

Research.com Recognitions

Awards & Achievements

2017 - Royal Netherlands Academy of Arts and Sciences

2014 - Member of Academia Europaea

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Programming language
  • Database

Frank van Harmelen mainly focuses on World Wide Web, Ontology, Semantic Web, Information retrieval and Artificial intelligence. His work in the fields of World Wide Web, such as Semantic Web Stack, Web Ontology Language, Semantic Web Rule Language and OWL-S, intersects with other areas such as Information engineering. His Ontology research includes elements of Data science, Information integration and Knowledge management.

His Semantic Web study also includes

  • Ontology which is related to area like Ontology language,
  • Ontology-based data integration which connect with Knowledge extraction. The study of Information retrieval is intertwined with the study of Function in a number of ways. His research integrates issues of Formal language, Software engineering and Natural language processing in his study of Artificial intelligence.

His most cited work include:

  • From SHIQ and RDF to OWL: the making of a Web Ontology Language (1342 citations)
  • A semantic Web primer (1213 citations)
  • Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema (1195 citations)

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

His primary areas of investigation include Semantic Web, Information retrieval, World Wide Web, Ontology and Artificial intelligence. Frank van Harmelen has researched Semantic Web in several fields, including Data science and Knowledge representation and reasoning. His studies deal with areas such as Context, Metadata and Set as well as Information retrieval.

His study ties his expertise on Semantics together with the subject of World Wide Web. His Ontology study frequently links to related topics such as Ontology. His Social Semantic Web research incorporates themes from Web standards, Semantic computing, Semantic Web Stack and Data Web.

He most often published in these fields:

  • Semantic Web (30.52%)
  • Information retrieval (27.62%)
  • World Wide Web (23.26%)

What were the highlights of his more recent work (between 2014-2021)?

  • Information retrieval (27.62%)
  • Semantic Web (30.52%)
  • Linked data (7.85%)

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

Frank van Harmelen spends much of his time researching Information retrieval, Semantic Web, Linked data, Artificial intelligence and World Wide Web. His work on Semantic similarity, Ontology and SPARQL as part of general Information retrieval research is frequently linked to Evidence-based practice, bridging the gap between disciplines. His Semantic Web research integrates issues from Metadata, Vocabulary and Data science.

His research on Linked data also deals with topics like

  • Theoretical computer science that connect with fields like Set and Data structure,
  • Knowledge graph most often made with reference to Conceptual framework. His Artificial intelligence study incorporates themes from Machine learning, Differentiable function, Task and Natural language processing. He mostly deals with Semantic Web Stack in his studies of World Wide Web.

Between 2014 and 2021, his most popular works were:

  • Stream reasoning: A survey and outlook (63 citations)
  • Why the Data Train Needs Semantic Rails (50 citations)
  • Adaptive Linked Data-Driven Web Components: Building Flexible and Reusable Semantic Web Interfaces (23 citations)

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

  • Artificial intelligence
  • Programming language
  • Database

The scientist’s investigation covers issues in Information retrieval, Semantic Web, Linked data, Data science and Artificial intelligence. In the field of Information retrieval, his study on RDF overlaps with subjects such as Evidence-based practice. Semantic Web is the subject of his research, which falls under World Wide Web.

His research in the fields of Social Semantic Web and Web modeling overlaps with other disciplines such as European community. His research in Data science intersects with topics in Domain, Context, Stream reasoning and Usability. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Differentiable function, Semantics and Natural language processing.

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

A semantic Web primer

Grigoris Antoniou;Paul Groth;Frank van van Harmelen;Rinke Hoekstra.
(2004)

3486 Citations

Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema

Jeen Broekstra;Arjohn Kampman;Frank van Harmelen.
international semantic web conference (2002)

2168 Citations

From SHIQ and RDF to OWL: the making of a Web Ontology Language

Ian Horrocks;Peter F. Patel-Schneider;Frank van Harmelen.
Journal of Web Semantics (2003)

2136 Citations

Web ontology language: Owl

Grigoris Antoniou;Frank van Harmelen.
Handbook on ontologies (2009)

1256 Citations

Web Ontology Language: OWL

Grigoris Antoniou;Frank van Harmelen;Steffen Staab;Rudi Struder.
Handbook on Ontologies in Information Systems (2003)

1155 Citations

Towards the Semantic Web

John Davies;Dieter Fensel;Frank Van Harmelen.
(2002)

1092 Citations

Towards the Semantic Web: Ontology-driven Knowledge Management

John Davies;Dieter Fensel;Frank van Harmelen.
(2002)

968 Citations

Web Ontology Language

DL McGuinness;Frank van Harmelen.
W3C Recommendation. (2004)

724 Citations

OIL in a Nutshell

Dieter Fensel;Ian Horrocks;Frank van Harmelen;Stefan Decker.
knowledge acquisition modeling and management (2000)

666 Citations

Handbook of Knowledge Representation

Frank van Harmelen;Vladimir Lifschitz;Bruce Porter.
(2008)

589 Citations

Best Scientists Citing Frank van Harmelen

Ian Horrocks

Ian Horrocks

University of Oxford

Publications: 117

Heiner Stuckenschmidt

Heiner Stuckenschmidt

University of Mannheim

Publications: 80

Jeff Z. Pan

Jeff Z. Pan

University of Edinburgh

Publications: 77

Pascal Hitzler

Pascal Hitzler

Kansas State University

Publications: 71

Dieter Fensel

Dieter Fensel

University of Innsbruck

Publications: 69

Alan Bundy

Alan Bundy

University of Edinburgh

Publications: 65

Steffen Staab

Steffen Staab

University of Southampton

Publications: 59

Grigoris Antoniou

Grigoris Antoniou

University of Huddersfield

Publications: 53

Peter Haase

Peter Haase

Metaphacts

Publications: 50

Ulrike Sattler

Ulrike Sattler

University of Manchester

Publications: 47

Bijan Parsia

Bijan Parsia

University of Manchester

Publications: 46

Axel Polleres

Axel Polleres

Vienna University of Economics and Business

Publications: 44

Rudi Studer

Rudi Studer

Karlsruhe Institute of Technology

Publications: 43

Enrico Motta

Enrico Motta

The Open University

Publications: 41

Stefan Decker

Stefan Decker

RWTH Aachen University

Publications: 38

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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