SUCXENT: An Efficient Path-Based Approach to Store and Query XML Documents

Xandy: A scalable change detection technique for ordered XML documents using relational databases

“…The relational storage approach has attracted considerable interest with a view to leveraging their powerful and reliable data management services. The above limitations coupled with the recent success in storing XML data in relational databases [6,7,12,13,17] force us to ask whether we can address these problems by using relational techniques to detect the changes to XML documents. A relational database can be used in two ways to address the change detection problem.…”

“…• By extending a published relational schema called SUCXENT [12], XANDY is efficient not only for detecting the changes, but also for inserting, extracting, and querying XML data as it inherits the features of SUCX-ENT. In [12], the authors have shown that the execution time of insertion and extraction XML documents by using SUCXENT schema are comparable.…”

“…The underlying relational schema of DIFFXML [3] is simplistic and is not efficient for path expressions query processing. Hence, our approach in [8] uses SUCX-ENT schema that enables us to insert, extract, and query XML data efficiently [12].…”

“…We have extended the relational schema of our XML storage system called SUCXENT (Schema UnConcious XML ENabled SysTem) [12]. We chose SUCXENT because we have shown in [12] that our approach outperforms significantly the current state-of-the-art model mapping approaches like XParent [7] as far as storage size (up to 20%), insertion time (up to six times), extraction time, and path expression queries (up to 25%) are concerned.…”

“…There are two approaches for storing XML documents in relational database: the model-mapping approaches [6,7,12,17] and the structure-mapping approaches [13]. The model-mapping approaches maintain a fixed schema which is used to store XML documents irrespective of their schemas.…”