H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 73 Citations 19,904 259 World Ranking 680 National Ranking 8

Research.com Recognitions

Awards & Achievements

2016 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the field of knowledge representation and reasoning, and applications to data integration, ontologies, planning, and process synthesis and verification.

2015 - ACM Fellow For contributions to description logics, data management, and verification of data-driven processes

Overview

What is he best known for?

The fields of study he is best known for:

  • Programming language
  • Artificial intelligence
  • Database

The scientist’s investigation covers issues in Theoretical computer science, Description logic, Programming language, Information retrieval and Conjunctive query. His Theoretical computer science study incorporates themes from Query language, Computational complexity theory and Query optimization. His Abox study in the realm of Description logic interacts with subjects such as Monoidal t-norm logic.

His Programming language research is multidisciplinary, relying on both Satisfiability and Logical consequence. His Information retrieval research is multidisciplinary, incorporating perspectives in Document Definition Markup Language, PCDATA, Data integration and Information integration. His Conjunctive query study which covers Relational database management system that intersects with Conceptualization and Data access layer.

His most cited work include:

  • Tractable Reasoning and Efficient Query Answering in Description Logics: The DL-Lite Family (1152 citations)
  • Linking data to ontologies (677 citations)
  • ConGolog , a concurrent programming language based on the situation calculus (467 citations)

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

His scientific interests lie mostly in Theoretical computer science, Description logic, Programming language, Decidability and Information retrieval. His Theoretical computer science study integrates concerns from other disciplines, such as Set, Query language, Data integration, Query optimization and Conjunctive query. His studies deal with areas such as SQL and Database schema as well as Conjunctive query.

His Description logic research includes themes of Ontology, Knowledge base and Knowledge representation and reasoning. The study incorporates disciplines such as Domain and Data exchange in addition to Decidability. In general Information retrieval study, his work on Query expansion and Ontology-based data integration often relates to the realm of RDF query language, thereby connecting several areas of interest.

He most often published in these fields:

  • Theoretical computer science (36.93%)
  • Description logic (24.15%)
  • Programming language (19.89%)

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

  • Theoretical computer science (36.93%)
  • Situation calculus (11.93%)
  • Programming language (19.89%)

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

His main research concerns Theoretical computer science, Situation calculus, Programming language, Set and Action. His Theoretical computer science study combines topics in areas such as Axiom and Simple. His Situation calculus research incorporates elements of Control, Decidability and Bisimulation.

Specifically, his work in Programming language is concerned with the study of Semantics. His Set research is multidisciplinary, incorporating elements of Time complexity, Orchestration, Description logic and Reinforcement learning. His Action research includes elements of Stability, Simplicity, Key and State.

Between 2015 and 2021, his most popular works were:

  • Using Ontologies for Semantic Data Integration (33 citations)
  • Linking Data and BPMN Processes to Achieve Executable Models (20 citations)
  • On the Disruptive Effectiveness of Automated Planning for LTLf-Based Trace Alignment (20 citations)

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

  • Programming language
  • Artificial intelligence
  • Database

Giuseppe De Giacomo mainly investigates Theoretical computer science, Situation calculus, Decidability, Nondeterministic algorithm and Artificial intelligence. His work in the fields of Theoretical computer science, such as Automaton, overlaps with other areas such as Work. His research investigates the connection with Situation calculus and areas like Bisimulation which intersect with concerns in Abstraction.

His work deals with themes such as Pure mathematics and Calculus, which intersect with Decidability. The concepts of his Nondeterministic algorithm study are interwoven with issues in Reduction, Mathematical proof, Guard, Computational complexity theory and Agent-oriented programming. His Artificial intelligence research incorporates themes from Time complexity, Model checking and Set.

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

Tractable Reasoning and Efficient Query Answering in Description Logics: The DL-Lite Family

Diego Calvanese;Giuseppe Giacomo;Domenico Lembo;Maurizio Lenzerini.
Journal of Automated Reasoning (2007)

1532 Citations

Linking data to ontologies

Antonella Poggi;Domenico Lembo;Diego Calvanese;Giuseppe De Giacomo.
Journal on Data Semantics (2008)

834 Citations

ConGolog , a concurrent programming language based on the situation calculus

Giuseppe de Giacomo;Yves Lespérance;Hector J. Levesque.
Artificial Intelligence (2000)

748 Citations

Reasoning on UML class diagrams

Daniela Berardi;Diego Calvanese;Giuseppe De Giacomo.
Artificial Intelligence (2005)

666 Citations

Automatic Composition of E-services That Export Their Behavior

Daniela Berardi;Diego Calvanese;Giuseppe De Giacomo;Maurizio Lenzerini.
international conference on service oriented computing (2003)

576 Citations

Data complexity of query answering in description logics

Diego Calvanese;Giuseppe De Giacomo;Domenico Lembo;Maurizio Lenzerini.
Artificial Intelligence (2013)

501 Citations

DL-Lite: tractable description logics for ontologies

Diego Calvanese;Giuseppe De Giacomo;Domenico Lemho;Maurizio Lenzerini.
national conference on artificial intelligence (2005)

472 Citations

On the decidability of query containment under constraints

Diego Calvanese;Giuseppe De Giacomo;Maurizio Lenzerini.
symposium on principles of database systems (1998)

454 Citations

Data integration under integrity constraints

Andrea Calì;Diego Calvanese;Giuseppe De Giacomo;Maurizio Lenzerini.
conference on advanced information systems engineering (2004)

395 Citations

Automatic composition of transition-based semantic web services with messaging

Daniela Berardi;Diego Calvanese;Giuseppe De Giacomo;Richard Hull.
very large data bases (2005)

362 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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