March 14, 2006 (Press Release) --
Search challenge
Major part of corporate information on the enterprise intranet is unstructured in form of files, databases, archives etc. Information is contained in different formats and different systems and also differs in the level of access to it. Such a diverse and ever increasing data flow needs filtering and convenient structuring. One of the key stages of complex process of forming information base is fast search for relevant documents. The existent commercially recognized full text search systems do not solve this problem to the full degree. If the search speed is acceptable, then the quality leaves much to be desired. If the search is accurate and adequate, then it usually consumes much time and machine resources, as processing phrasal queries with thousands of unique words, tilling through dozens of gigabytes of incoming correspondence, technical documentation, reports and other information requires a lot of resources.
SoftInform Search Technology
The answer to this challenge is the unique SoftInform technology of search for documents similar in their content to the query text. SoftInform Search Technology is based on the mathematical model of analyzing the document structure and selecting similar words, word combinations, sentences and text arrays. This full text search technology is also protected by a valid Eurasian patent. SoftInform technology distinguishing feature is fast speed of query processing, which enables retrieving the necessary documents within seconds from any amount of unstructured data.
High indexing speed (up to 30 GB/h), compact index (15-20% from the actual size of text information), support of practically all popular text file formats (including .pdf and .html) and accurate work with archives make SearchInform an irreplaceable information retrieval tool.
Enterprise-wide full text search solution on the basis of SoftInform Search Technology will be highly beneficial in any knowledge base, analytical service or large company support firm. Universality and effectiveness of the SoftInform full text search technology enable solving a wide spectrum of information processing problems such as information fuzziness (guarding against entering duplicate documents into databases), document similarity analysis (report on similar documents in the database) and fast search for thematically similar files (which ensures more accurate similarity results than by customary phrasal search and saves time spent on wording the query and viewing irrelevant documents).
Major part of corporate information on the enterprise intranet is unstructured in form of files, databases, archives etc. Information is contained in different formats and different systems and also differs in the level of access to it. Such a diverse and ever increasing data flow needs filtering and convenient structuring. One of the key stages of complex process of forming information base is fast search for relevant documents. The existent commercially recognized full text search systems do not solve this problem to the full degree. If the search speed is acceptable, then the quality leaves much to be desired. If the search is accurate and adequate, then it usually consumes much time and machine resources, as processing phrasal queries with thousands of unique words, tilling through dozens of gigabytes of incoming correspondence, technical documentation, reports and other information requires a lot of resources.
SoftInform Search Technology
The answer to this challenge is the unique SoftInform technology of search for documents similar in their content to the query text. SoftInform Search Technology is based on the mathematical model of analyzing the document structure and selecting similar words, word combinations, sentences and text arrays. This full text search technology is also protected by a valid Eurasian patent. SoftInform technology distinguishing feature is fast speed of query processing, which enables retrieving the necessary documents within seconds from any amount of unstructured data.
High indexing speed (up to 30 GB/h), compact index (15-20% from the actual size of text information), support of practically all popular text file formats (including .pdf and .html) and accurate work with archives make SearchInform an irreplaceable information retrieval tool.
Enterprise-wide full text search solution on the basis of SoftInform Search Technology will be highly beneficial in any knowledge base, analytical service or large company support firm. Universality and effectiveness of the SoftInform full text search technology enable solving a wide spectrum of information processing problems such as information fuzziness (guarding against entering duplicate documents into databases), document similarity analysis (report on similar documents in the database) and fast search for thematically similar files (which ensures more accurate similarity results than by customary phrasal search and saves time spent on wording the query and viewing irrelevant documents).

Major part of corporate information on the enterprise intranet is unstructured in form of files, databases, archives etc. Information is contained in different formats and different systems and also d
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