Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/54719
Title: Probabilistic XML
Authors: Hung, E
Issue Date: 2009
Publisher: Springer
Source: In CC Aggarwal (Ed.), Managing and mining uncertain data, p. 353-388. New York: Springer, 2009 How to cite?
Series/Report no.: Advances in database systems ; 35
Abstract: Interest in XML databases has been expanding rapidly over the last few years. In this chapter, we will study the problem of incorporating probabilistic information into XML databases. First we will consider the sources of probabilistic XML data. We will then describe the initial attempts in using XML tags to represent simple uncertainty in text and XML data. After that, we will describe Zhao et al’s framework of Semi-structured Probabilistic Objects (SPOs), which uses semi-structured data to describe probabilistic data. Next, we will describe Nierman and Jagadish’s proposal of ProTDB which considers uncertainty in the structure of XML data with limited probabilistic distribution in point probability. Finally we will see how Hung et al.’s PXML and PIXML models handle uncertain structures with arbitrary distributions (in point probability and interval probability), which also provide a set of algebraic erations, queries, and aggregate operators.
URI: http://hdl.handle.net/10397/54719
ISBN: 9780387096902 (electronic bk.)
9780387096896 (print)
DOI: 10.1007/978-0-387-09690-2_12
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