Search-based application: Difference between revisions

Revision as of 01:04, 29 June 2016

Revision as of 22:34, 14 December 2016

Line 4:

== Pre-conditions ==

Search -based applications are fully packaged applications that:<ref>Worldwide Search and Discovery 2009 Vendor Shares: An Update on Market Trends, IDC #223926, July, 2010 by Susan Feldman and Hadley Reynolds.</ref>

* Are built on a search backbone to enable sub-second access to information in multiple formats and from multiple sources

* Are delivered as a unified work environment to support a specific task or workflow, for example: eDiscovery, financial services regulatory compliance, fraud detection, voice of the customer, sales prospecting, pharmaceutical research, anti-terrorism intelligence, or customer support.

Line 29:

The use of a search platform as the core infrastructure for software applications has been enabled largely by two search engine features: 1) Scalability 2) Ad hoc access to multiple heterogeneous sources from a single point of access.

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.