The algorithm for the integration of classes/concepts which results in an ontology suitable for the preservation of database vlasses/concepts is described. It has been designed by means of original research at the boundary between mathematics, computer science and concept theory. The input conceptual graph of this algorithm is determined as a solution of a data mining problem, which has been approached as inverse mapping of conceptual database design. Similarities and differences are discussed between an algorithm formalized in concept theory, which is not suitable for implementation, and the algorithm for the integration of classes/concepts, which exploits the benefits of database notations.

Preservation of database concepts: from data mining to concept theory

Locuratolo E I
2017

Abstract

The algorithm for the integration of classes/concepts which results in an ontology suitable for the preservation of database vlasses/concepts is described. It has been designed by means of original research at the boundary between mathematics, computer science and concept theory. The input conceptual graph of this algorithm is determined as a solution of a data mining problem, which has been approached as inverse mapping of conceptual database design. Similarities and differences are discussed between an algorithm formalized in concept theory, which is not suitable for implementation, and the algorithm for the integration of classes/concepts, which exploits the benefits of database notations.
2017
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
978-1-5225-1653-8
Database Partitioning
Algorithms
Correctness
Completeness
Class/concept completeness
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/331874
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