2019
DOI: 10.1109/access.2019.2898228
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An Algebra for Fuzzy Spatiotemporal Data in XML

Abstract: A formal algebra is essential for applying standard database-style query optimization to XML queries. We develop such algebra for manipulating fuzzy spatiotemporal XML data. We also introduce several formal characterizations of fuzzy spatiotemporal algebraic equivalences and study how XQuery expressions can be transformed into algebraic expressions. It shows that the algebra can lay a firm foundation for managing fuzzy spatiotemporal XML data. INDEX TERMS Algebra, fuzzy spatiotemporal data, XML.

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Cited by 7 publications
(2 citation statements)
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“…In this work, the logical structure of a spatiotemporal database, data type systems, and querying operations were investigated. Bai et al [29] deal with fuzzy information and propose an algebra for fuzzy spatiotemporal data in XML.…”
Section: Algebra For Spatiotemporal Datamentioning
confidence: 99%
“…In this work, the logical structure of a spatiotemporal database, data type systems, and querying operations were investigated. Bai et al [29] deal with fuzzy information and propose an algebra for fuzzy spatiotemporal data in XML.…”
Section: Algebra For Spatiotemporal Datamentioning
confidence: 99%
“…Ma and Li 10 identified multigranularity of data fuzziness in XML based on possibility theory and developed a fuzzy XML data model that addresses types of fuzziness. Combining the labeling and ordering of XML documents and the nature of fuzzy spatiotemporal data, Bai et al proposed a series of approaches to model fuzzy spatiotemporal data based on XML 11,12,13 Furthermore, concerning on querying XML data, Xu et al 14 proposed a contextual preference query method of and content scoring; Li et al 15 investigated probabilistic threshold keyword queries (PrTKQ) over XML data and proposed two querying algorithms utilizing probability density function (query); Campi et al 16 present a flexible framework for querying semistructured XML data based on fuzzy set theory. In their proposed framework, a new function aiming at providing a degree of similarity between two XML trees is also introduced; Damiani et al 17 elaborate on the graph-based technique for posing blind queries to unvalidated XML information.…”
mentioning
confidence: 99%