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A query by example approach for XML querying

Authors: Ferreira, Flávio Xavier; Cruz, Daniela da; Henriques, Pedro Rangel; Gançarski, Alda Lopes; Defude, Bruno;

A query by example approach for XML querying

Abstract

XML, as a general-purpose annotation system for creating custom markup languages, is becoming more and more important. XML annotations give structure to plain documents and help to interpret their content, making them human or machine readable. However, mechanisms to pretty-print those annotated documents or process them in order to extract information are crucial to make them useful. In a similar way, a collection of XML documents, without any tools capable of retrieving information from it, is useless. To search for specific elements in a marked up document we have, at least, two options: XPath and XQuery. However, the learning curve of these two dialects is high, requiring a considerable level of knowledge. In this context, the idea of Query-by-example can be an important contribution to make easier this learning process, freeing the user from knowing the specific query language details or even the document structure. In this paper, we describe our approach to QBE based on an sample document from the collection where the user specifies his needs. First, we focus on the choice of the adequate document to serve as a sample of the collection, based on different metrics computed over the document. Then, we discuss the query generation from the user needs' specifications, namely components (elements or attributes) selection and filtering.

Country
Portugal
Related Organizations
Keywords

XQuery, Query-by-example, XML

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green