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Managing XML Trees Using XPath, XQuery, Clustering and Tree Tuples over Sedna XML database
Abstract:
XML is a markup language that defines a set of rules for encoding semi-structured data in a readable format for both humans and machines, in other words the increase of various XML data as information source has raised a number of issues about how to represent and manage this data. Find out an ontology knowledge to derive semantics of XML document has become a major challenge in semi-structured data management. XPath and XQuery languages are used for selecting nodes and compute values from XML document, tuple the XML tree and address the problem of XML data clustering according to structure with ontology knowledge. Experiment on real XML database gives evidence that our proposed approach is highly effective in tupling and clustering of XML tree. So this paper will propose Sedna, which is a free native XML database that provides flexible XML processing facilities include W3C XQuery implementation. Finally we will discuss the results of No. of replayed nodes and time taken by XPath or XQuery.
CITATION:
IEEE format
H. Elzentani, “Managing XML Trees Using XPath, XQuery, Clustering and Tree Tuples over Sedna XML database,” in Sinteza 2014 - Impact of the Internet on Business Activities in Serbia and Worldwide, Belgrade, Singidunum University, Serbia, 2014, pp. 878-881. doi:10.15308/sinteza-2014-878-881
APA format
Elzentani, H. (2014). Managing XML Trees Using XPath, XQuery, Clustering and Tree Tuples over Sedna XML database. Paper presented at Sinteza 2014 - Impact of the Internet on Business Activities in Serbia and Worldwide. doi:10.15308/sinteza-2014-878-881
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