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 43 Citations 12,238 128 World Ranking 4010 National Ranking 237

Overview

What is he best known for?

The fields of study he is best known for:

  • World Wide Web
  • Artificial intelligence
  • Programming language

World Wide Web, OWL-S, Ontology, Information retrieval and Semantic Web Rule Language are his primary areas of study. The Semantic Web and Web mapping research Sean Bechhofer does as part of his general World Wide Web study is frequently linked to other disciplines of science, such as Reuse, Cloud computing and Quality, therefore creating a link between diverse domains of science. His study looks at the relationship between OWL-S and fields such as Application programming interface, as well as how they intersect with chemical problems.

Sean Bechhofer does research in Ontology, focusing on Ontology-based data integration specifically. His studies deal with areas such as Scalability, Metadata, Interface and Service as well as Information retrieval. His research investigates the connection between Programming language and topics such as Web Ontology Language that intersect with issues in RDF.

His most cited work include:

  • The OWL API: A Java API for OWL ontologies (543 citations)
  • TAMBIS: Transparent Access to Multiple Bioinformatics Information Sources (441 citations)
  • SKOS Simple Knowledge Organization System Reference (427 citations)

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

Sean Bechhofer spends much of his time researching World Wide Web, Ontology, Information retrieval, Semantic Web and Metadata. Many of his studies on Ontology involve topics that are commonly interrelated, such as Description logic. His work in the fields of Information retrieval, such as Linked data and IDEF5, overlaps with other areas such as Digital library and Process.

His research in Semantic Web intersects with topics in Semantics and Data Web. His study in Metadata is interdisciplinary in nature, drawing from both Annotation, Semantic grid and Interoperability. His work carried out in the field of RDF brings together such families of science as Ontology language, OWL-S, Abstract syntax and Workflow.

He most often published in these fields:

  • World Wide Web (49.69%)
  • Ontology (26.38%)
  • Information retrieval (25.77%)

What were the highlights of his more recent work (between 2012-2018)?

  • World Wide Web (49.69%)
  • Semantic Web (25.15%)
  • Metadata (16.56%)

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

Sean Bechhofer mostly deals with World Wide Web, Semantic Web, Metadata, Information retrieval and Linked data. World Wide Web is closely attributed to Ontology in his research. Sean Bechhofer has included themes like Web standards and Data Web in his Semantic Web study.

The Metadata study combines topics in areas such as Workflow and Interoperability. His work in Information retrieval addresses subjects such as The Internet, which are connected to disciplines such as Feature extraction and Set. The concepts of his Web Ontology Language study are interwoven with issues in Simple Knowledge Organization System and Knowledge organization.

Between 2012 and 2018, his most popular works were:

  • Why linked data is not enough for scientists (251 citations)
  • Using a suite of ontologies for preserving workflow-centric research objects (75 citations)
  • Ontology paper: Key choices in the design of Simple Knowledge Organization System (SKOS) (51 citations)

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

  • World Wide Web
  • Artificial intelligence
  • Programming language

Sean Bechhofer mainly investigates World Wide Web, Metadata, Linked data, Workflow and Quality. World Wide Web is closely attributed to Ontology in his study. His Ontology study combines topics in areas such as Workflow technology, Windows Workflow Foundation, Knowledge management, Semantic Web and Object.

As a part of the same scientific family, he mostly works in the field of Metadata, focusing on Interoperability and, on occasion, Scalability. His studies examine the connections between Linked data and genetics, as well as such issues in The Internet, with regards to RDF, Layer and Set. His work on Workflow management system and Workflow engine as part of general Workflow study is frequently linked to Digital library, bridging the gap between disciplines.

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

OWL: Web Ontology Language

Sean Bechhofer.
In: {Encyclopedia of Database Systems}. Springer; 2009.. (2009)

1185 Citations

The OWL API: A Java API for OWL ontologies

Matthew Horridge;Sean Bechhofer.
Social Work (2011)

846 Citations

OilEd: A Reason-able Ontology Editor for the Semantic Web

Sean Bechhofer;Ian Horrocks;Carole A. Goble;Robert Stevens.
Description Logics (2001)

707 Citations

SKOS Simple Knowledge Organization System Reference

Alistair Miles;Sean Bechhofer.
(2009)

646 Citations

Ontology-based knowledge representation for bioinformatics

Robert Stevens;Carole A. Goble;Sean Bechhofer.
Briefings in Bioinformatics (2000)

516 Citations

TAMBIS: Transparent Access to Multiple Bioinformatics Information Sources

Patricia G. Baker;Andy Brass;Sean Bechhofer;Carole A. Goble.
intelligent systems in molecular biology (1998)

441 Citations

OWL Web Ontology Language Reference-W3C Recommen-dation

Sean Bechhofer;Frank van Harmelen;James A. Hendler;Ian Horrocks.
(2004)

434 Citations

OWL rules: A proposal and prototype implementation

Ian Horrocks;Peter F. Patel-Schneider;Sean Bechhofer;Dmitry Tsarkov.
Journal of Web Semantics (2005)

419 Citations

The GRAIL concept modelling language for medical terminology

Alan L Rector;Sean Bechhofer;Carole A Goble;Ian Horrocks.
Artificial Intelligence in Medicine (1997)

415 Citations

Why linked data is not enough for scientists

Sean Bechhofer;Iain Buchan;David De Roure;Paolo Missier.
Future Generation Computer Systems (2013)

414 Citations

Best Scientists Citing Sean Bechhofer

Carole Goble

Carole Goble

University of Manchester

Publications: 118

Robert Stevens

Robert Stevens

University of Manchester

Publications: 81

Ian Horrocks

Ian Horrocks

University of Oxford

Publications: 75

Bijan Parsia

Bijan Parsia

University of Manchester

Publications: 54

Oscar Corcho

Oscar Corcho

Technical University of Madrid

Publications: 44

Alan L. Rector

Alan L. Rector

University of Manchester

Publications: 43

Phillip Lord

Phillip Lord

Newcastle University

Publications: 39

David De Roure

David De Roure

University of Oxford

Publications: 37

Robert Hoehndorf

Robert Hoehndorf

King Abdullah University of Science and Technology

Publications: 37

Mark A. Musen

Mark A. Musen

Stanford University

Publications: 37

Heiner Stuckenschmidt

Heiner Stuckenschmidt

University of Mannheim

Publications: 37

Steffen Staab

Steffen Staab

University of Southampton

Publications: 33

Ulrike Sattler

Ulrike Sattler

University of Manchester

Publications: 33

Olivier Bodenreider

Olivier Bodenreider

National Institutes of Health

Publications: 31

Michel Dumontier

Michel Dumontier

Maastricht University

Publications: 29

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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