Hierarchy as a new data type for qualitative variables

Serguei Levachkine, Adolfo Guzmán-Arenas

Resultado de la investigación: Contribución a una revistaArtículo

15 Citas (Scopus)

Resumen

The concept of hierarchy has being explored by the computer science communities during last few decades. Relatively simple hierarchical structures found extensive use in such diverse areas as data modeling, information retrieval, knowledge representation and processing, natural language, pattern recognition, and so on. Recent investigations in information retrieval and data integration have emphasized the use of ontologies and semantic similarity functions as a mechanism for comparing objects that can be retrieved or integrated across heterogeneous repositories. Hierarchies being a simpler, albeit very useful, version of ontologies, can perfectly contribute to model solutions of these problems. Present paper aims to illustrate above thesis by discussing a simple method of information retrieval that uses a hierarchical qualitative data organization. Its main goal is to retrieve objects from any database that are just close to a desired item and control the retrieval process up to a given error, called herein confusion. For doing this, we define a semantic dissimilarity (confusion) between objects to be retrieved as well as introduce a calculus of predicates based on the confusion function. © 2006 Elsevier Ltd. All rights reserved.
Idioma originalInglés estadounidense
Páginas (desde-hasta)899-910
Número de páginas807
PublicaciónExpert Systems with Applications
DOI
EstadoPublicada - 1 abr 2007

Huella dactilar

Information Storage and Retrieval
Information retrieval
Semantics
Ontology
Natural Language Processing
Data integration
Calculi
Knowledge representation
Computer science
Pattern recognition
Data structures
Databases
Processing

Citar esto

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Hierarchy as a new data type for qualitative variables. / Levachkine, Serguei; Guzmán-Arenas, Adolfo.

En: Expert Systems with Applications, 01.04.2007, p. 899-910.

Resultado de la investigación: Contribución a una revistaArtículo

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