D-Index & Metrics Best Publications
Computer Science
Italy
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 59 Citations 14,112 272 World Ranking 2249 National Ranking 40

Research.com Recognitions

Awards & Achievements

2023 - Research.com Computer Science in Italy Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Law
  • Programming language

Aldo Gangemi mainly investigates Ontology, Process ontology, Upper ontology, Information retrieval and Ontology-based data integration. His work deals with themes such as Ontology, World Wide Web and Natural language processing, which intersect with Ontology. His research in Natural language processing tackles topics such as RDF which are related to areas like Representation.

His Information retrieval research includes elements of Medical terminology, Data mining and Natural language. The concepts of his Ontology-based data integration study are interwoven with issues in Ontology Inference Layer and Semantic Web. The Knowledge representation and reasoning, WordNet, Sentiment analysis and Linked data research Aldo Gangemi does as part of his general Artificial intelligence study is frequently linked to other disciplines of science, such as Frame based, therefore creating a link between diverse domains of science.

His most cited work include:

  • Sweetening Ontologies with DOLCE (848 citations)
  • WonderWeb Deliverable D18 Ontology Library (420 citations)
  • Ontology design patterns for semantic web content (362 citations)

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

His primary areas of investigation include Ontology, Semantic Web, Information retrieval, World Wide Web and Artificial intelligence. His research integrates issues of Ontology and Knowledge management in his study of Ontology. The Knowledge management study combines topics in areas such as Epistemology and Formal ontology.

His studies deal with areas such as Frame semantics, Semantics and Data mining as well as Information retrieval. His work on Natural language processing expands to the thematically related Artificial intelligence. His Natural language processing study incorporates themes from Linguistics and OntoClean.

He most often published in these fields:

  • Ontology (41.84%)
  • Semantic Web (31.21%)
  • Information retrieval (29.08%)

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

  • Linked data (23.40%)
  • Semantic Web (31.21%)
  • Ontology (41.84%)

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

His scientific interests lie mostly in Linked data, Semantic Web, Ontology, World Wide Web and Artificial intelligence. Semantic Web is a primary field of his research addressed under Information retrieval. His study explores the link between Ontology and topics such as Knowledge management that cross with problems in Context.

His work on Interoperability and Knowledge base is typically connected to Privacy policy and Lived experience as part of general World Wide Web study, connecting several disciplines of science. His research on Artificial intelligence frequently connects to adjacent areas such as Natural language processing. In his work, Ontology-based data integration is strongly intertwined with Stability, which is a subfield of Process ontology.

Between 2015 and 2021, his most popular works were:

  • Semantic Web Machine Reading with FRED (89 citations)
  • Framester: A Wide Coverage Linguistic Linked Data Hub (44 citations)
  • Conference Linked Data: The ScholarlyData Project (30 citations)

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

  • Artificial intelligence
  • Law
  • Programming language

Aldo Gangemi mostly deals with Linked data, Semantic Web, World Wide Web, Ontology and Information retrieval. The various areas that Aldo Gangemi examines in his Linked data study include Domain and Knowledge extraction. His Semantic Web course of study focuses on Frame semantics and Graph, FrameNet and Natural language processing.

His World Wide Web study combines topics in areas such as Publishing and Workflow. His studies in Ontology integrate themes in fields like Information system and Knowledge management. His Information retrieval research integrates issues from Judicial interpretation and Usability.

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

Sweetening Ontologies with DOLCE

Aldo Gangemi;Nicola Guarino;Claudio Masolo;Alessandro Oltramari.
knowledge acquisition, modeling and management (2002)

1503 Citations

Sweetening Ontologies with DOLCE

Aldo Gangemi;Nicola Guarino;Claudio Masolo;Alessandro Oltramari.
knowledge acquisition, modeling and management (2002)

1503 Citations

Ontology design patterns for semantic web content

Aldo Gangemi.
Lecture Notes in Computer Science (2005)

682 Citations

Ontology Design Patterns

Aldo Gangemi;Valentina Presutti.
Handbook on Ontologies (2009)

651 Citations

Ontology Design Patterns

Aldo Gangemi;Valentina Presutti.
Handbook on Ontologies (2009)

651 Citations

Ontology design patterns for semantic web content

Aldo Gangemi.
international semantic web conference (2005)

640 Citations

Modelling ontology evaluation and validation

Aldo Gangemi;Carola Catenacci;Massimiliano Ciaramita;Jos Lehmann.
european semantic web conference (2006)

574 Citations

Modelling ontology evaluation and validation

Aldo Gangemi;Carola Catenacci;Massimiliano Ciaramita;Jos Lehmann.
european semantic web conference (2006)

574 Citations

Ontology learning and its application to automated terminology translation

R. Navigli;P. Velardi;A. Gangemi.
IEEE Intelligent Systems (2003)

556 Citations

Ontology learning and its application to automated terminology translation

R. Navigli;P. Velardi;A. Gangemi.
IEEE Intelligent Systems (2003)

556 Citations

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