Adaptive XML Shredding: Architecture, Implementation, and Challenges

Freire, Juliana; Simèon, Jérǒme

doi:10.1007/3-540-36556-7_7

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Materializing Xml Views As Relational Data1

Introduction1

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Cited by 3 publications

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“…When a user requests to materialize a view, VIREX maps the XML document and stores its content in the relational database. This process is referred to as shredding [20,18,44] and involves the steps outlined next in Algorithm 1 shown in Fig. 5.…”

Section: Materializing Xml Views As Relational Datamentioning

confidence: 99%

XML materialized views and schema evolution in VIREX

Özyer

Tahboob

et al. 2010

Information Sciences

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Section: Materializing Xml Views As Relational Datamentioning

confidence: 99%

XML materialized views and schema evolution in VIREX

Özyer

Tahboob

et al. 2010

Information Sciences

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“…For instance, if an application employing a relational database wants to publish [12,16] (scenario 1) some of its data to make it available to an application using a semi-structured database (based on XML), the data should be first extracted with a relational query, such as a SQL query. In the other direction, if the application using a semi-structured database wants to shred [20] (scenario 2) some of its data to enrich a relational database, the data should be first extracted with a query over XML, for example with XPath or XQuery. The same query languages can be used to extract semi-structured data before shredding it into a graph database, based on RDF (scenario 3).…”

Section: Introductionmentioning

confidence: 99%