XML information items collected from heterogeneous sources often carry similar semantics but turn out to be structured in different ways. Variations in structure make effective search of information across multiple datasources hard to achieve. Our approach is aimed at a flexible search and processing technique, capable to extract relevant information from a possibly huge set of XML documents. ApproXML is a software tool supporting approximate pattern-based querying, able to locate and extract XML information dealing flexibly with differences in structure and tag vocabulary. Our method relies on representing XML documents as graphs, through a variant of the DOM model. The relevant information is selected as follows [Dam00a]: first, a XML pattern, i.e. a partially specified subtree, is provided by the user. Then, the XML documents of the target dataset are scanned; XML fragments are located and sorted according to their similarity to the pattern.

The APPROXML tool demonstration / E. Damiani, N. Lavarini, S. Marrara, B. Oliboni, D. Pasini, L. Tanca, G. Viviani - In: Advances in database technology, EDBT 2002 : 8. International conference on extending database technology : Prague, Czech Republic, march 25-27, 2002 : proceedings / [a cura di] Christian S. Jensen ... [et al.]. - Berlin : Springer, 2002. - ISBN 3540433244. - pp. 187-200 (( Intervento presentato al 8. convegno International Conference on Extending Database Technology tenutosi a Praga nel 2002 [10.1007/3-540-45876-X_52].

The APPROXML tool demonstration

E. Damiani
Primo
;
S. Marrara;
2002

Abstract

XML information items collected from heterogeneous sources often carry similar semantics but turn out to be structured in different ways. Variations in structure make effective search of information across multiple datasources hard to achieve. Our approach is aimed at a flexible search and processing technique, capable to extract relevant information from a possibly huge set of XML documents. ApproXML is a software tool supporting approximate pattern-based querying, able to locate and extract XML information dealing flexibly with differences in structure and tag vocabulary. Our method relies on representing XML documents as graphs, through a variant of the DOM model. The relevant information is selected as follows [Dam00a]: first, a XML pattern, i.e. a partially specified subtree, is provided by the user. Then, the XML documents of the target dataset are scanned; XML fragments are located and sorted according to their similarity to the pattern.
Settore INF/01 - Informatica
2002
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/49503
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