SilkRoute: trading between relations and XML

By M. Fernández, Wang Chiew Tan, Dan Suciu. Comput. Networks, 2000

321 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Holistic twig joins: optimal XML pattern matching (2002, methodology): “XML data and various issues in their storage as well as query processing using relational database systems have recently been considered in [12, 24, 23, 4, 10, 11].”
Structural joins: a primitive for efficient XML query pattern matching (2002, methodology): “In subsequentwork [26, 4, 12], the authors considered the problem of publishing XML documents from relational databases.”
Updating XML (2001, methodology): “Another similar source of queryable XML data is an XML mediator placed over an existing relational database [3, 9].”
Efficiently publishing relational data as XML documents (2001, background): “Other recent proposals, based on a combination of SQL and XML query languages [8], do not share these advantages.”
From XML schema to relations: a cost-based approach to XML storage (2002, unknown): “This physical schema and the XQuery workload are then input into the Query/Schema Translation module, which in turn generates the corresponding relational catalog (schema and statistics) and SQL queries that are input into a relational optimizer for cost estimation.”