The third on the list are the turnkey solutions based on the search technologies. They are meant for big companies and corporations, possessing really large data bases and stuffed with all sorts of information systems and documents. In principle, the technologies themselves can also be used for individual user's needs. For example, a programmer working remotely from the office will make good use of the search to access randomly located on his hard drive program source codes. But these are particulars. The main full text search application of the technology is still solving the problem of quick and accurate search through large data volumes and working 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 resources. When using such technology the user should first word the query phrases which are going to be the search criteria and presumably occur in the necessary documents to be retrieved. But there is no guarantee that the user will be able to choose or remember the correct phrase on his own and furthermore, that the search by this phrase will be satisfactory. Another key moment is the speed of query processing. Of course, when using the whole document instead of a couple of words, the accuracy of search increases manifold. But up to date, such an opportunity has not been used because of the high capacity drain of this process. The point is that search by words or phrases will not provide us with a highly relevant similarity of results. And the search by phrase equal in its length to the whole document consumes much time and computer resources. Here is an example: while processing the query by one word 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), generating a relevant list of results in case of search by key words will take several dozens of minutes (which is unacceptable to the user).

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