These limitations do not only apply to Google, but also to other in-house search solutions that are based on or derived from Internet search engine technology. 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
This isn’t true, and education in the marketplace is needed to present ancillary technologies that don’t replace enterprise search engines, but improve them
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
"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...
Catching up to and surpassing the competition will be achieved by getting more customers (a better user experience will help) via Search Engine Marketing and Search Engine Optimization (big fancy words for metadata / keywords / blah, blah, blah)
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
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
I ask the question “if you are indexing your drawings, why would you look at the image file name and not the results of a query from your search engine tool?” For those who use Windows Explorer as your search engine, renaming images would make sense, however a true document management system will import the images and rename them a unique file name to avoid overwriting original files
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