Nicola Leone

Last updated
Nicola Leone
Nicola Leone.jpg
Born28 February 1963
NationalityItalian
Alma mater University of Calabria
Awards
Scientific career
Fields Artificial intelligence, knowledge representation and reasoning, and database theory
Institutions University of Calabria
TU Wien
Website mat.unical.it/leone/wiki/HomePage

Nicola Leone is an Italian computer scientist who works in the areas of artificial intelligence, knowledge representation and reasoning, and database theory. [1] Leone is currently the rector of the University of Calabria and a professor of Computer Science. [2] [3] Previously, he was a professor of Database Systems at the TU Wien. [4]

Contents

Research work

Leone has published more than 250 scientific articles in the areas of artificial intelligence, knowledge representation and reasoning, and database theory. [5]

In the area of artificial intelligence and knowledge representation and reasoning, he is best known for his influential early work on answer set programming (ASP) and for the development of DLV, a pioneering system for knowledge representation and reasoning, which was the very first successful attempt to fully support disjunction in the datalog language, achieving the possibility to compute problems of high complexity, up to NP .

To the field of database theory he mainly contributed through the invention of hypertree decomposition, a framework for obtaining tractable structural classes of conjunctive queries, and a generalisation of the notion of tree decomposition from graph theory. This work has also had substantial impact in artificial intelligence, since it is known that the problem of evaluating conjunctive queries on relational databases is equivalent to the constraint satisfaction problem [6]

Awards and honours

Related Research Articles

Knowledge representation and reasoning is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can use to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language. Knowledge representation incorporates findings from psychology about how humans solve problems and represent knowledge, in order to design formalisms that will make complex systems easier to design and build. Knowledge representation and reasoning also incorporates findings from logic to automate various kinds of reasoning.

Logic programming is a programming, database and knowledge representation paradigm based on formal logic. A logic program is a set of sentences in logical form, representing knowledge about some problem domain. Computation is performed by applying logical reasoning to that knowledge, to solve problems in the domain. Major logic programming language families include Prolog, Answer Set Programming (ASP) and Datalog. In all of these languages, rules are written in the form of clauses:

Prolog is a logic programming language that has its origins in artificial intelligence, automated theorem proving and computational linguistics.

<span class="mw-page-title-main">Conceptual graph</span>

A conceptual graph (CG) is a formalism for knowledge representation. In the first published paper on CGs, John F. Sowa used them to represent the conceptual schemas used in database systems. The first book on CGs applied them to a wide range of topics in artificial intelligence, computer science, and cognitive science.

Datalog is a declarative logic programming language. While it is syntactically a subset of Prolog, Datalog generally uses a bottom-up rather than top-down evaluation model. This difference yields significantly different behavior and properties from Prolog. It is often used as a query language for deductive databases. Datalog has been applied to problems in data integration, networking, program analysis, and more.

Belief revision is the process of changing beliefs to take into account a new piece of information. The logical formalization of belief revision is researched in philosophy, in databases, and in artificial intelligence for the design of rational agents.

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Moshe Ya'akov Vardi is an Israeli mathematician and computer scientist. He is the Karen Ostrum George Distinguished Service Professor in Computational Engineering at Rice University, United States. and a faculty advisor for the Ken Kennedy Institute. His interests focus on applications of logic to computer science, including database theory, finite model theory, knowledge of multi-agent systems, computer-aided verification and reasoning, and teaching logic across the curriculum. He is an expert in model checking, constraint satisfaction and database theory, common knowledge (logic), and theoretical computer science.

In database theory, a conjunctive query is a restricted form of first-order queries using the logical conjunction operator. Many first-order queries can be written as conjunctive queries. In particular, a large part of queries issued on relational databases can be expressed in this way. Conjunctive queries also have a number of desirable theoretical properties that larger classes of queries do not share.

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Phokion G. KolaitisACM is a computer scientist who is currently a Distinguished Research Professor at UC Santa Cruz and a Principal Research Staff Member at the IBM Almaden Research Center. His research interests include principles of database systems, logic in computer science, and computational complexity.

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Michael Genesereth is an American logician and computer scientist, who is most known for his work on computational logic and applications of that work in enterprise management, computational law, and general game playing. Genesereth is professor in the Computer Science Department at Stanford University and a professor by courtesy in the Stanford Law School. His 1987 textbook on Logical Foundations of Artificial Intelligence remains one of the key references on symbolic artificial intelligence. He is the author of the influential Game Description Language (GDL) and Knowledge Interchange Format (KIF), the latter of which led to the ISO Common Logic standard.

Antonio Lieto is an Italian cognitive scientist and computer scientist at the University of Turin and a Research Associate at the Institute of High Performance Computing of the Italian National Research Council focusing on cognitive architectures and computational models of cognition, commonsense reasoning and models of mental representation, and persuasive technologies. He teaches Artificial Intelligence and "Design and Evaluation of Cognitive Artificial Systems" at the Department of Computer Science of the University of Turin.

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References

  1. ""Siamo i campioni dell'informatica". Benvenuti al Mit. Anzi, a Cosenza". la Repubblica. 28 May 2019.
  2. "Nicola Leone nuovo rettore Unical". Agenzia Nazionale Stampa Associata. 3 July 2019.
  3. "Rende, Nicola Leone è il nuovo rettore dell'Unical". il Quotidiano del Sud.
  4. "DBAI -- Prof. Nicola Leone". TU Wien.
  5. "Università della Calabria, il più grande campus d'Italia alla prova del post Covid". la Repubblica (in Italian). 3 August 2020.
  6. Kolaitis, P.G.; Vardi, M.Y. (2000). "Conjunctive-Query Containment and Constraint Satisfaction". Journal of Computer and System Sciences. 61 (2): 302–332. doi: 10.1006/jcss.2000.1713 .
  7. "Fellows". European Association for Artificial Intelligence.
  8. "Academia Europaea". Academia Europaea.
  9. "Carlo Ghezzi and Nicola Leone received Academic Commendation". TU Wien.
  10. "Researchers at the University of Calabria awarded the prize for best research on Logic Programming". ResearchItaly.
  11. "University of Calabria wins once again with Artificial Intelligence". ResearchItaly.
  12. "ACM PODS Alberto O. Mendelzon Test-of-Time Award". SIGMOD.
  13. Pontelli, Enrico. "ICLP 2018: Conference Report – Association for Logic Programming". New Mexico State University.