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Index, query, relevancy 

Modern search technologies are based on two processes: indexing of available information, query processing and a following output of results. Speaking of the former, any program (whether it’s a desktop search engine, a corporate information system, or an internet-search engine) creates its own search domain. That is, processes documents and forms their index (organized structure that contains information on processed data). Afterwards this created index will be used for in processing the query. What follows might not be at all simple technology-wise, but it doesn’t present any complexity to the average user. Then the program processes the query (by the keyword or phrase) and shows a list of documents that contain this key phrase. Since the information is stored in the structured index, the query processing takes much less time (up to hundred times faster) than if it was the straight search (the document selection is conducted not through file overlooking, but through analyzing the text data in the index).

The program shows a list of results in the order of relevancy (the level of correspondence to the query text). Different technologies, obviously, use different methods of search and relevancy determining (number of word inputs, usage frequency, the ratio of the query to the number of words in the document, the intervals between the words of the query phrase in the searched files, etc.). Based on those criteria the “weight” of the document is determinted, and depending on it the file takes a certain position in the list of results. When dealing with Internet search everything gets complicated, since a lot of other factors are to be considered (Page Rank Google is an example). But that’s the topic for a whole other article, so let’s not touch Internet

 

  

Unique similar search technology in our corporate search engine utility At present most of the potential customers simply have no clue that there is a corporate search engine tool for searching similar documents. The problems facing a corporate user can be solved nice and easy. And the name of the game is the SoftInform corporate search engine technologies. It is important, first of all, to inform the corporate user on SoftInform corporate search engine solution, its originality and strengths as compared to corporate search engine competitors, and second of all, to provide turn-key projects (examples) that would demonstrate the ease with which any challenge of corporate search and structuring information is solved by means of our corporate search engine technology.



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Our full text search engine system provides you with advanced site search

Anyone who has surfed the internet has probably used a full text search engine system. Engines like Yahoo!, Google, Alta Vista, and Lycos help you find what you're looking for, simply by typing in a few keywords.
Many sites have their own full text search engine utility. When you search using these site search engines, the results are all from that site. For large websites - those with hundreds, or even thousands of pages - a site search capability is almost a necessity. However, administering a site full text search engine utility can be a daunting challenge.


20th of January SoftInform Company has released new version of full text search program SearchInform 1.8.02. New version has a number of useful changes, in particular has been made support of .ISO files, as well as new feature to .CSS files in native format.
Detailed news about full text search engine...

The SoftInform Company announces the release of a new version of its full text information search system SearchInform 1.7 and a price reduction for SearchInform Desktop Standard 1.7 by almost one half. Starting from November 1, the standard version of SearchInform Desktop will cost just $29.95.
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