The third on the list are the turnkey solutions based on search technologies. They are meant for serious companies and corporations, possessing really large databases and staffed with all sorts of information systems and documents. In principle, the technologies themselves can also be used for home needs. For example, a programmer working remotely from the office will make a good use of search when accessing randomly located on his hard drive program source codes. But these are details. The main application of the technology, full text search, is still solving the problem of quick and accurate search within large data volumes as well as work with various information sources. Such information retrieval systems usually operate by a very simple scheme (although there are undoubtedly numerous unique methods of indexing and processing queries underneath the surface): phrasal search, with proper consideration for all the stem forms, synonyms etc. which once again leads us to the problem of human resource. When using such technology the user should first word the query phrases which are going to be the search criteria and presumably meet in the necessary documents to be retrieved. But there is no guarantee that the user will be able to independently choose or remember the correct phrase and furthermore, that the search by this phrase will be satisfactory. One more key moment is the speed of processing a query. Of course, when using the whole document instead of a couple of words, the accuracy of search increases significantly. But up to date, such an opportunity has not been used because of the high capacity drain of such a process. The point is that search by words or phrases will not provide us with a highly relevant similarity of results. Search by phrase equal in its length to the whole document consumes much more time and computer resources. Here is an example: while processing the query one word long there is no considerable difference in speed: whether it’s 0,1 or 0,001 second is not of crucial importance to the user. But when you take an average size document which contains about 2000 unique words, then the search with consideration for morphology (stem forms) and thesaurus (synonyms), as well as generating a relevant list of results in case of search by key words will take several dozens of minutes (which is unacceptable for a user).

Unique similar search technology in our sql server full text index tool utility At present most of the potential customers simply have no clue that there is a sql server full text index tool 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 sql server full text index tool technologies. It is important, first of all, to inform the corporate user on SoftInform sql server full text index tool solution, its originality and strengths as compared to sql server full text index tool 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 sql server full text index tool technology.

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.
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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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