Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/23891

TitleGuessXQ, a query-by-example approach for XML querying
Author(s)Fonte, Daniela
Cruz, Daniela da
Henriques, Pedro Rangel
Gançarski, Alda Lopes
KeywordsQuery-by-example
XML querying
IR from a collection of structured
Documents
Intelligent environments
Issue date2013
PublisherIGI Global
Abstract(s)XML is a wide used general-purpose annotation formalism for creating custom markup languages. XML annotations give structure to plain documents to interpret their content. To extract information from XML documents XPath and XQuery languages can be used. However, the learning of these dialects requires a considerable effort. In this context, the traditional Query-By-Example methodology (for Relational Databases) can be an important contribute to leverage this learning process, freeing the user from knowing the specific query languages details or even the document structure. This paper describes how we apply the Query-By-Example concept in a Web-application for information retrieval from XML documents, the GuessXQ system. This engine is capable of deducing, from an example, the respective XQuery statement. The example consists of marking the desired components directly on a sample document, picked-up from a collection. After inferring the corresponding query, GuessXQ applies it to the collection to obtain the desired result.
TypeConference paper
URIhttp://hdl.handle.net/1822/23891
ISBN9781466626690
DOI10.4018/978-1-4666-2669-0.ch004
AccessRestricted access (UMinho)
Appears in Collections:CCTC - Capítulos de livro

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