Many Internet search engines are optimized to retrieve pre-defined, specific and precise specifications
According to Wikipedia, a Boolean query is defined as: โa query language for a search engine that supports Boolean operators (AND, OR, NOT) and parentheses
They are: Use of a search engine to dynamically drive the users interaction with content Triggering of information retrieval through key term or phrase query that returns additional parameters used to pull information from other sources The use of connectors to bring data from its sources Processing of user search terms either before the query is sent to the engine (pre-processing) or after the results are returned (post processing) Enhancement of the index (by adding more metadata, changing that metadata or removing metadata) Combining, ranking and formatting result sets Integrating information from disparate or similar sources Performing document processing (previewing content, segmenting content, or recombining content) He goes on to talk about how SharePoint 2013 is poised to enable the development of search based applications at significantly reduced cost
Classification and tagging within ECM will add value to the content for lifecycle management, but also for findability where a search engine is used. 3
Here are some thoughts on how search can be constructed to help users be most effective: Tags – tag content through the use of folksonomy and/or taxonomy; the search engine can then search and filter based on this meta data Faceting – provide high-level filters to segment images, videos, people, intranet sites, etc
Many search engines used in portals are optimized to retrieve predefined, specific and precise specifications
But on the last years, the quality of these visual search engines has reached levels that are beginning to be acceptable for eDiscovery, compliance, law enforcement and intelligence applications
"Making decisions is easy. Making decisions that people will support is not so easy." - Peter Block , Flawless Consulting We all have our holding patterns around found objects -- whether it's unmarked currency, unclaimed winnings, or uneaten popcorn from the last...
For more examples, please consult: http://aiimcommunities.org/erm/blog/understand-benefits-and-limitations-traditional-web-search-engines-such-google-when-you-use-the. Many non-specialized search engines cannot handle these types of constructions, or they become extremely slow on large data sets
Many organizations do recognize the importance of search and will change their search engine, often more frequently than is necessary, others just try to make do with what they have