Search-based application: Difference between revisions

Revision as of 07:51, 29 November 2010

Revision as of 10:46, 29 November 2010

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Search based applications have proven popular and effective because they provide a dynamic, scalable access infrastructure that can be integrated with other features that information workers need: task-specific, and easy to use work environments that integrate features that are usually designed to be used as separate applications, collaborative features, ___domain knowledge, and security.

Search engines are not a replacement for database systems; they are a complement. They have been optimally engineered to facilitate access to information, not to record and store transactions. In addition, the mathematical and statistical processors integrated to date into search engines remain relatively simple. At present, therefore, databases still provide a more effective structure for complex analytical functions.Search applications also focus on providing quality results considering search relevancy.

==References==

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* Steve-Kearns' [http://lucene-eurocon.org/slides/Building-Multilingual-Search-Based-Applications_Steve-Kearns.pdf Building Multilingual Search Based Applications] presentation at Apache Lucene EuroCon 2010 conference

* Information Today article [http://newsbreaks.infotoday.com/NewsBreaks/Attivio-Upgrades-Its-Active-Intelligence-Engine-67608.asp Attivio Upgrades Its Active Intelligence Engine]

* [http://www.lucidimagination.com/Community/Hear-from-the-Experts/Articles/Search-Application-Relevance-Issues#final.thoughts Debugging Search Application Relevance Issues]

== See also ==