By Eric Pardede
The realm vast net and ubiquitous computing applied sciences have given an important enhance to the rising box of XML database study.
Open and Novel matters in XML Database functions: destiny instructions and complex applied sciences covers accomplished matters and demanding situations stumbled on via top foreign XML database learn. an invaluable reference resource for researchers, practitioners, and academicians, this booklet presents whole references to the newest learn in XML know-how.
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Extra info for Open and Novel Issues in XML Database Applications: Future Directions and Advanced Technologies (Premier Reference Source)
Closing the Gap Between XML and Relational Database Technologies Table 2. , 2003 XML schema, annotations Indirect Open Issues and Poo Soutions As we can see from the previous overview, there exist plenty of approaches to XML processing in RDBMS. But, although each of the existing approaches contributes certain interesting ideas and optimizations, there is still room for possible future improvements to the current methods. We describe and discuss them in this section and we also propose several solutions and possible enhancements.
Most Web applications use XML to transfer data from the databases they access and vice versa. According to (Robie, 2003), XML applications that must use relational source data will choose from these approaches: apply SQL queries to the source, then transform the results to XML; use XML extensions provided by the vendor; use SQL/XML; use XQuery. Over the long haul, legacy relational stores will be sustained for archival purposes through their legacy SQL interfaces until this becomes impractical; at which time they will either be deprecated or refitted with XQuery-mediating middleware.
These include the following: Closing the Gap Between XML and Relational Database Technologies • • • • • • Strategies for mitigating the “impedance mismatch” between orderless tables and inherently ordered and hierarchically structured XML content (Tatarinov, 2002); Approaches for assessing the “sweet spot” where a collection of documents that are data-centric and highly amenable to relational mapping crosses over to become one that is document-centric (semi-structured or high natural language content) and therefore a less suitable mapping candidate; and what to do when content evolves to this point; Better algorithms for automated but informed schema shredding, with specific suggestions for investigation directions that may yield improvements; “Apples-to-apples” metrics for benchmarking performance among the various XML-enhanced relational databases and applications ala (Schmidt, 2002); Investigating the extent to which pushing standardization into the access layer mitigates vendor interoperability mismatches; Content pattern and sequence recognition techniques, which have applications for biomedical and genetic algorithms.