XML has become a key technology for interoperability, providing a common data model to applications. However, diverse data modeling choices may lead to heterogeneous XML structure and content. In this paper, information retrieval and database-related techniques have been jointly applied to effectively tolerate XML data diversity in the evaluation of flexible queries. Approximate structure and content matching is supported via a straightforward extension to standard XPath syntax. Also, we outline a query execution technique representing a first step toward efficiently addressing structural pattern queries together with predicate support over XML elements content.

Fuzzy XPath : using fuzzy logic and IR features to approximately query XML documents / E. Damiani, S. Marrara, G. Pasi - In: Foundations of fuzzy logic and soft computing : 12. International fuzzy systems association world congress, IFSA 2007 : Cancun, Mexico, june 18-21, 2007 : proceedings / [a cura di] Patricia Melin ... [et al.]. - Berlin : Springer, 2007. - ISBN 9783540729174. - pp. 199-208 (( Intervento presentato al 12. convegno International Fuzzy Systems Association World Congress tenutosi a Cancun, Mexico nel 2007 [10.1007/978-3-540-72950-1_21].

Fuzzy XPath : using fuzzy logic and IR features to approximately query XML documents

E. Damiani
Primo
;
S. Marrara
Secondo
;
2007

Abstract

XML has become a key technology for interoperability, providing a common data model to applications. However, diverse data modeling choices may lead to heterogeneous XML structure and content. In this paper, information retrieval and database-related techniques have been jointly applied to effectively tolerate XML data diversity in the evaluation of flexible queries. Approximate structure and content matching is supported via a straightforward extension to standard XPath syntax. Also, we outline a query execution technique representing a first step toward efficiently addressing structural pattern queries together with predicate support over XML elements content.
Settore INF/01 - Informatica
2007
International Fuzzy Systems Association
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/50296
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