Extending databases to precision-controlled retrieval of qualitative information

Victor Polo De Gyves, Adolfo Guzman-Arenas, Serguei Levachkine

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A hierarchy is an arrangement of qualitative values in a tree with certain properties. Hierarchies allow to define the confusion conf(r, s) in using qualitative value r instead of the intended or correct value s. From here, "predicate P holds for object o", written P(o), is generalized to "P holds for o within confusion ε", written Pε(o) . These precision-controlled predicates are useful to retrieve approximate answers, where the error (confusion) is known. The predicates are implemented through an extended SQL that uses confusion to retrieve information from a database. We show how to extend any database for precision-controlled retrieval. Limiting the total error is also useful, and this is achieved by predicate Pε. Examples are given. © Springer-Verlag Berlin Heidelberg 2005.
Original languageAmerican English
Title of host publicationExtending databases to precision-controlled retrieval of qualitative information
Pages21-32
Number of pages17
ISBN (Electronic)3540280634, 9783540280637
StatePublished - 1 Dec 2005
EventLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -
Duration: 1 Jan 2014 → …

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3563 LNCS
ISSN (Print)0302-9743

Conference

ConferenceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Period1/01/14 → …

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De Gyves, V. P., Guzman-Arenas, A., & Levachkine, S. (2005). Extending databases to precision-controlled retrieval of qualitative information. In Extending databases to precision-controlled retrieval of qualitative information (pp. 21-32). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3563 LNCS).