Detection of Similar Identities in XML Documents
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2015, Vol 3, Issue 3
Abstract
Duplicate detection is an important part of data cleaning; it is the process of detecting multiple representations of a same real-world object in the data sources. Numbers of solutions are available for detecting duplicates in XML data. One of the novel methods for XML duplicate detection is XMLDup. XMLDup makes use of a Bayesian network to evaluate the probability of two XML elements are duplicates. In addition a network pruning strategy is also used for improving the evaluation of the Bayesian network. A DOM tree construction algorithm for constructing the tree of the input XML data is proposed. It is seen that by using DOM tree construction algorithm higher efficiency is achieved for detection of similar identities in XML Documents.
Authors and Affiliations
Miss Amita Fulsundar, Dr. K. V. Metre
Keywords
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