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Oxone: A Scalable Solution for Detecting Superior Quality Deltas on Ordered Large XML Documents

12 years 5 months ago
Oxone: A Scalable Solution for Detecting Superior Quality Deltas on Ordered Large XML Documents
Recently, a number of relational-based approaches for detecting the changes to XML data have been proposed to address the scalability problem of main memory-based approaches (e.g., X-Diff, XyDiff). These approaches store the XML documents in the relational database and issue SQL queries (whenever appropriate) to detect the changes. In this paper, we propose a relational-based ordered XML change detection technique (called OXONE) that uses a schemaconscious approach as the underlying storage strategy for XML data. Previous efforts have focused on detecting changes to ordered XML in an schema-oblivious storage environment. Although the schema-oblivious approach produces better result quality compared to XyDiff (a main memory-based ordered XML change detection approach), its performance degrade with increase in data size and is slower than XyDiff for smaller data set. We propose a technique to overcome these limitations. Our experimental results show that OXONE is up to 22 times faster an...
Erwin Leonardi, Sourav S. Bhowmick
Added 22 Aug 2010
Updated 22 Aug 2010
Type Conference
Year 2006
Where ER
Authors Erwin Leonardi, Sourav S. Bhowmick
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