H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 53 Citations 9,760 293 World Ranking 2475 National Ranking 1329

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Programming language
  • Algorithm

The scientist’s investigation covers issues in Description logic, Semantic Web, Artificial intelligence, Theoretical computer science and Ontology. Pascal Hitzler combines subjects such as Ontology language, Algorithm, Decidability, Web Ontology Language and Conjunctive query with his study of Description logic. As a member of one scientific family, Pascal Hitzler mostly works in the field of Semantic Web, focusing on Data science and, on occasion, Big data.

His Artificial intelligence study combines topics in areas such as Programming language and Natural language processing. His studies deal with areas such as Semantics and Circumscription as well as Theoretical computer science. His research investigates the connection between Ontology and topics such as Data mining that intersect with issues in Debugging, Software engineering, Cloud computing and Benchmark.

His most cited work include:

  • Foundations of Semantic Web Technologies (447 citations)
  • The Semantic Web - Iswc 2010 (278 citations)
  • OWL 2 Web Ontology Language Primer (Second Edition) (210 citations)

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

Pascal Hitzler mainly investigates Semantic Web, Description logic, Artificial intelligence, Ontology and Theoretical computer science. As part of the same scientific family, Pascal Hitzler usually focuses on Semantic Web, concentrating on Data science and intersecting with Big data. His research integrates issues of Datalog, Ontology language, Axiom and Web Ontology Language in his study of Description logic.

His research in Artificial intelligence intersects with topics in Machine learning and Natural language processing. His studies deal with areas such as Algorithm, Semantics and Axiomatic semantics as well as Theoretical computer science. His work deals with themes such as Semantic Web Stack and Web modeling, which intersect with Social Semantic Web.

He most often published in these fields:

  • Semantic Web (22.17%)
  • Description logic (21.32%)
  • Artificial intelligence (20.90%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (20.90%)
  • Ontology (17.70%)
  • Semantic Web (22.17%)

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

His primary scientific interests are in Artificial intelligence, Ontology, Semantic Web, Information retrieval and World Wide Web. Pascal Hitzler interconnects Machine learning and Natural language processing in the investigation of issues within Artificial intelligence. His Ontology research incorporates themes from Plug-in and Benchmark.

In general Semantic Web, his work in Social Semantic Web is often linked to Quality linking many areas of study. His Information retrieval study integrates concerns from other disciplines, such as Domain, Data structure and Knowledge organization. His World Wide Web study incorporates themes from Event, License and Pattern language.

Between 2015 and 2021, his most popular works were:

  • Neural-Symbolic Learning and Reasoning: A Survey and Interpretation (77 citations)
  • Towards a Simple but Useful Ontology Design Pattern Representation Language. (33 citations)
  • Ontology Engineering with Ontology Design Patterns: Foundations and Applications (27 citations)

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

  • Artificial intelligence
  • Programming language
  • Operating system

Artificial intelligence, Ontology, Ontology design pattern, Software engineering and Natural language processing are his primary areas of study. His Artificial intelligence research includes themes of Base and Machine learning. He combines subjects such as Linked data, Metadata, World Wide Web and Data science with his study of Ontology.

As part of one scientific family, Pascal Hitzler deals mainly with the area of Ontology design pattern, narrowing it down to issues related to the Software design pattern, and often Information retrieval. His research investigates the link between Software engineering and topics such as Protégé that cross with problems in Programming language, Web Ontology Language, Semantics, Interface and Rule-based system. His Description logic study contributes to a more complete understanding of Theoretical computer science.

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.

Top Publications

Foundations of Semantic Web Technologies

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

1138 Citations

The Semantic Web - Iswc 2010

Peter F. Patel-Schneider;Yue Pan;Pascal Hitzler;Peter Mika.
(2011)

430 Citations

Semantic Web: Grundlagen

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

374 Citations

OWL 2 Web Ontology Language Primer (Second Edition)

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

319 Citations

Ontology alignment for linked open data

Prateek Jain;Pascal Hitzler;Amit P. Sheth;Kunal Verma.
international semantic web conference (2010)

303 Citations

Concept learning in description logics using refinement operators

Jens Lehmann;Pascal Hitzler.
Machine Learning (2010)

222 Citations

Linked Data is Merely More Data

Prateek Jain;Pascal Hitzler;Peter Z. Yeh;Kunal Verma.
national conference on artificial intelligence (2010)

213 Citations

String Similarity Metrics for Ontology Alignment

Michelle Cheatham;Pascal Hitzler.
international semantic web conference (2013)

209 Citations

Linked Data, Big Data, and the 4th Paradigm

Pascal Hitzler;Krzysztof Janowicz.
Social Work (2013)

200 Citations

Generalized Metrics and Topology in Logic Programming Semantics

Pascal Hitzler.
(2001)

191 Citations

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

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