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Topological operators: a relaxed query processing approach / Alberto Belussi in Geoinformatica, vol 16 n° 1 (January 2012)  

Public [article]  inGeoinformatica > vol 16 n° 1 (January 2012) . - pp 67 - 110 Titre : Topological operators: a relaxed query processing approach Type de document : Article/Communication Auteurs : Alberto Belussi, Auteur ; Barbara Catania, Auteur ; P. Podesta, Auteur Année de publication : 2012 Article en page(s) : pp 67 - 110 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes IGN] opérateur spatial [Termes IGN] relation topologique [Termes IGN] requête spatiale Résumé : (Auteur) Relaxation and approximation techniques have been proposed as approaches for improving the quality of query results, in terms of completeness and accuracy, in environments where the user may not be able to specify the query in a complete and exact way, since data are quite heterogeneous or she may not know all the characteristics of data at hand. This problem, mainly addressed for relational and XML data, is nowadays quite relevant also for geo-spatial data, due to their increasing usage in highly critical decisional processes. Among geo-spatial queries, those based on spatial and more precisely topological relations are currently used in an increasing number of applications. As far as we know, no approach has been proposed so far for relaxing queries based on topological predicates when they return an empty or insufficient answer, in order to improve result quality and user satisfaction. In this paper, we consider this problem and we present a general relaxation strategy for, possibly multi-domain, topological selection and join queries. Two specific semantics are also provided: the first applies the minimum amount of relaxation in order to get an acceptable answer; the second relaxes the given query of a certain fixed amount, depending on the considered topological predicate. Index-based processing algorithms, for efficiently executing relaxed queries based on the proposed semantics, are also presented and a specific topological similarity function, to be used for relaxation purposes, is proposed. Experimental results show that the overhead given by query relaxation is acceptable. Numéro de notice : A2012-082 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1007/s10707-011-0124-9 Date de publication en ligne : 10/05/2011 En ligne : https://doi.org/10.1007/s10707-011-0124-9 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31530 [article]

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Intelligent database systems / Elisa Bertino (2001)

Public Titre : Intelligent database systems Type de document : Guide/Manuel Auteurs : Elisa Bertino, Auteur ; Barbara Catania, Auteur ; Gian Piero Zarri, Auteur Editeur : Londres, Paris, New York, Amsterdam, ... : Addison-Wesley Année de publication : 2001 Importance : 452 p. Format : 19 x 23 cm ISBN/ISSN/EAN : 978-0-201-87736-6 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Produits informatiques [Termes IGN] intelligence artificielle [Termes IGN] interopérabilité sémantique [Termes IGN] modèle logique de données [Termes IGN] système de gestion de base de données [Termes IGN] système expert Index. décimale : 26.06 Produits informatiques : bases de données Résumé : (éditeur) This book provides a state of the art guide to the new developments in expert database systems, from the unique perspective of both the database and AI areas. It gives complete and detailed coverage of the latest research and practice, including all the need-to-know technical and theoretical approaches in the area. Drawing on their extensive experience, the authors evaluate how AI techniques can be integrated with present and future database systems and knowledge based management systems, incorporating AI expertise into system design. The book also addresses the techniques developed recently which are directly used, or are the basis, for data retrieval across the world wide web. If you are a designer or developer working in the database community, with database and AI products or applications, this book will help you to understand crucial research developments and to apply the results in practice. Numéro de notice : 69367 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Manuel informatique Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=62165

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