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Università degli studi di Catania

SET THEORY FOR KNOWLEDGE REPRESENTATION

Abstract

dc:description

The decision problem in set theory has been intensively investigated in the last decades, and decision procedures or proofs of undecidability have been provided for several quantified and unquantified fragments of set theory. In this thesis we study the decision problem for three novel quantified fragments of set theory, which allow the explicit manipulation of ordered pairs. We present a decision procedure for each language of this family, and prove that all of these procedures are optimal (in the sense that they run in nondeterministic polynomial-time) when restricted to formulae with quantifier nesting bounded by a constant. The expressive power of languages of this family is then measured in terms of set-theoretical constructs they allow to express. In addition, these languages can be profitably employed in knowledge representation, since they allow to express a large amount description logic constructs.

Degree

thesis:*
Grantor dc:publisher
Università degli studi di Catania
Year dc:date
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • LONGO, CRISTIANO
Contributors dc:contributor
  • CANTONE, Domenico

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • info:eu-repo/semantics/openAccess
  • license:PUBBLICO - Pubblico con Copyright
  • license uri:iris.PUB02
Language dc:language
eng

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:www.iris.unict.it:20.500.11769/594343

Chain of custody

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Università degli Studi di Catania
Base URL
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Last updated
2026-07-24
Source record
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citation

LONGO, CRISTIANO. SET THEORY FOR KNOWLEDGE REPRESENTATION. Università degli studi di Catania, 2011. https://hdl.handle.net/20.500.11769/594343