H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 60 Citations 14,430 247 World Ranking 1559 National Ranking 57

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Programming language
  • Machine learning

His primary areas of investigation include Information retrieval, Ontology, Artificial intelligence, Natural language processing and Process ontology. His Information retrieval research incorporates themes from Concept search and Information needs. His Ontology research incorporates elements of Ontology, World Wide Web and Information integration.

His work in Artificial intelligence addresses issues such as Formal concept analysis, which are connected to fields such as Data analysis and Parsing. His Natural language processing research includes themes of Interface description language, Context, Cluster analysis and Taxonomy. His biological study spans a wide range of topics, including Ontology-based data integration and Upper ontology.

His most cited work include:

  • Semantic annotation for knowledge management: Requirements and a survey of the state of the art (501 citations)
  • Learning concept hierarchies from text corpora using formal concept analysis (470 citations)
  • Text2Onto: a framework for ontology learning and data-driven change discovery (464 citations)

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

Philipp Cimiano mainly investigates Artificial intelligence, Natural language processing, Information retrieval, Ontology and World Wide Web. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Context, Machine learning and Task. His research on Information retrieval often connects related areas such as Annotation.

His Ontology research extends to the thematically linked field of Ontology. His studies deal with areas such as RDF and Data science as well as Linked data. His Social Semantic Web study integrates concerns from other disciplines, such as Semantic Web Stack and Semantic search.

He most often published in these fields:

  • Artificial intelligence (43.38%)
  • Natural language processing (35.21%)
  • Information retrieval (29.58%)

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

  • Artificial intelligence (43.38%)
  • Natural language processing (35.21%)
  • Linked data (14.93%)

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

His primary areas of study are Artificial intelligence, Natural language processing, Linked data, Ontology and Information retrieval. His research in Artificial intelligence intersects with topics in Machine learning and Task. His Natural language processing research integrates issues from Knowledge base and Semantic Web.

His research integrates issues of Metadata and Data science in his study of Linked data. His study in the field of Ontology alignment, Suggested Upper Merged Ontology and Ontology-based data integration is also linked to topics like Spinal cord injury. His study on Information retrieval is mostly dedicated to connecting different topics, such as Ontology.

Between 2015 and 2021, his most popular works were:

  • The OntoLex-Lemon Model: Development and Applications (35 citations)
  • Comparing Hidden Markov Models and Long Short Term Memory Neural Networks for Learning Action Representations (25 citations)
  • The Open Linguistics Working Group: Developing the Linguistic Linked Open Data Cloud (24 citations)

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

  • Artificial intelligence
  • Programming language
  • Machine learning

Philipp Cimiano mostly deals with Artificial intelligence, Natural language processing, Question answering, Linked data and Word. Philipp Cimiano interconnects Context, Machine learning and Use case in the investigation of issues within Artificial intelligence. The various areas that he examines in his Natural language processing study include Ontology and Commonsense knowledge, Knowledge base.

In the field of Ontology, his study on Suggested Upper Merged Ontology overlaps with subjects such as Spinal cord injury. His Question answering study deals with the bigger picture of Information retrieval. His work carried out in the field of Linked data brings together such families of science as Representation and Metadata.

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

Learning concept hierarchies from text corpora using formal concept analysis

Philipp Cimiano;Andreas Hotho;Steffen Staab.
Journal of Artificial Intelligence Research (2005)

758 Citations

Semantic annotation for knowledge management: Requirements and a survey of the state of the art

Victoria Uren;Philipp Cimiano;José Iria;Siegfried Handschuh.
Journal of Web Semantics (2006)

743 Citations

Text2Onto: a framework for ontology learning and data-driven change discovery

Philipp Cimiano;Johanna Völker.
international conference natural language processing (2005)

714 Citations

Ontology Learning and Population from Text: Algorithms, Evaluation and Applications

Philipp Cimiano.
(2006)

644 Citations

Ontology Learning from Text: Methods, Evaluation and Applications

B. Magnini;P. Buitelaar;P. Cimiano.
(2005)

549 Citations

Template-based question answering over RDF data

Christina Unger;Lorenz Bühmann;Jens Lehmann;Axel-Cyrille Ngonga Ngomo.
the web conference (2012)

540 Citations

Towards the self-annotating web

Philipp Cimiano;Siegfried Handschuh;Steffen Staab.
the web conference (2004)

528 Citations

Ontology Learning from Text: An Overview

Paul Buitelaar;Philipp Cimiano;Bernardo Magnini.
Ontology Learning from Text: Methods, Evaluation and Applications (2005)

425 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

Ontology-based interpretation of keywords for semantic search

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

319 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.

If you think any of the details on this page are incorrect, let us know.

Contact us

Top Scientists Citing Philipp Cimiano

Jens Lehmann

Jens Lehmann

University of Bonn

Publications: 69

Axel-Cyrille Ngonga Ngomo

Axel-Cyrille Ngonga Ngomo

University of Paderborn

Publications: 66

Sören Auer

Sören Auer

University of Hannover

Publications: 61

Enrico Motta

Enrico Motta

The Open University

Publications: 60

Gerhard Weikum

Gerhard Weikum

Max Planck Institute for Informatics

Publications: 40

Pascal Hitzler

Pascal Hitzler

Kansas State University

Publications: 38

Marta Sabou

Marta Sabou

TU Wien

Publications: 36

Peter Haase

Peter Haase

Metaphacts

Publications: 28

Steffen Staab

Steffen Staab

University of Southampton

Publications: 28

Jeff Z. Pan

Jeff Z. Pan

University of Edinburgh

Publications: 27

Roberto Navigli

Roberto Navigli

Sapienza University of Rome

Publications: 26

Siegfried Handschuh

Siegfried Handschuh

University of St. Gallen

Publications: 25

Asunción Gómez-Pérez

Asunción Gómez-Pérez

Technical University of Madrid

Publications: 25

Mathieu d'Aquin

Mathieu d'Aquin

National University of Ireland, Galway

Publications: 24

Andreas Hotho

Andreas Hotho

University of Würzburg

Publications: 23

Something went wrong. Please try again later.