Titlebook: Database and Expert Systems Applications; 17th International C Stéphane Bressan,Josef Küng,Roland Wagner Conference proceedings 2006 Spring

铁砧

https://doi.org/10.1007/11827405Extensible Markup Language (XML); Workflow; automation; bioinformatics; data mining; data warehouse; datab

emulsify

Palpable

Efficient Processing of Multiple XML Twig Querieshich is specially tailored to match documents with large numbers of twig pattern queries. We introduce the . to represent multiple twig queries. Based on the ., we design a holistic twig join algorithm, called ., to find all matches for multiple twig queries by scanning an XML document only once.

放牧

Selectively Storing XML Data in Relationsfrom an . document, and generates . updates to increment an existing database using the . data. We also provide an efficient technique to evaluate . mappings in parallel with . parsing. These yield a systematic method to store . data selectively in an existing database.

乞讨

immunity

无法破译

Visual Specification and Optimization of XQuery Using VXQor users that have little knowledge about the language. We show that our visual language is more expressive than previous proposals. Finally, we extend our proposed visual XQuery to support query rewriting and optimization for multiple XQuery systems.

Interstellar

留恋

清楚

Ekaterina A. Sencha,Alexander N. Senchahich is specially tailored to match documents with large numbers of twig pattern queries. We introduce the . to represent multiple twig queries. Based on the ., we design a holistic twig join algorithm, called ., to find all matches for multiple twig queries by scanning an XML document only once.