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Fuzzy XQuery: A Real Implementation

Fuzzy XQuery: A Real Implementation

José Ángel Labbad, Ricardo R. Monascal, Leonid Tineo
Copyright: © 2016 |Pages: 41
ISBN13: 9781466687677|ISBN10: 1466687673|EISBN13: 9781466687684
DOI: 10.4018/978-1-4666-8767-7.ch006
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MLA

Labbad, José Ángel, et al. "Fuzzy XQuery: A Real Implementation." Handbook of Research on Innovative Database Query Processing Techniques, edited by Li Yan, IGI Global, 2016, pp. 158-198. https://doi.org/10.4018/978-1-4666-8767-7.ch006

APA

Labbad, J. Á., Monascal, R. R., & Tineo, L. (2016). Fuzzy XQuery: A Real Implementation. In L. Yan (Ed.), Handbook of Research on Innovative Database Query Processing Techniques (pp. 158-198). IGI Global. https://doi.org/10.4018/978-1-4666-8767-7.ch006

Chicago

Labbad, José Ángel, Ricardo R. Monascal, and Leonid Tineo. "Fuzzy XQuery: A Real Implementation." In Handbook of Research on Innovative Database Query Processing Techniques, edited by Li Yan, 158-198. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-8767-7.ch006

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Abstract

Traditional database systems and languages are very rigid. XML data and query languages are not the exception. Fuzzy set theory is an appropriate tool for solving this problem. In this sense, Fuzzy XQuery was proposed as an extension of the XQUERY standard. This language defines the xs:truth datatype, the xml:truth attribute and allows the definition and use of fuzzy terms in queries. The main goal of this chapter is to show a high coupling implementation of Fuzzy XQuery within eXist-db, an open source XML DBMS. This extension strategy could also be used with other similar tools. This chapter also presents a statistical performance analysis of the extended fuzzy query engine using the XMark benchmark with user defined fuzzy terms. The study presents promising results.

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