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. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Damiani, E., Marrara, S., & Pasi, G. (2007). FuzzyXPath: Using fuzzy logic an IR features to approximately query XML documents. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4529 LNAI, pp. 199–208). Springer Verlag. https://doi.org/10.1007/978-3-540-72950-1_21
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