SoftInform Search Technology

SoftInform Search Technology, developed by SoftInform, is the technology of searching for documents similar in their content to the sample. It enables fast and accurate search for documents of similar content in any volume of data. The technology is based on the mathematical model of analyzing the document structure and selecting the words, word combinations and text arrays, which results in forming a list of documents of maximum similarity the sample text abstract with the relevancy percent defined. In contrast to the standard phrasal search by the similar content search there is no need to determine the key words beforehand – the search is conducted through the whole document. The full text search technology works with several sources of information that can be stored both in text files of txt, doc, rtf, pdf, htm, html formats, and the information systems of the most popular data bases (Access, MS SQL, Oracle, as well as any SQL-supporting data bases). It also additionally supports the synonyms and important words functions that enable to carry out a more specific search. The similar search technology enables to significantly cut time wasted on searching and reviewing the same or very similar documents, diminish the processing time at the stage of entering data into the archive by avoiding the duplicate documents and forming sets of data by a certain subject. Another advantage of the SoftInform technology is that it’s not so sensitive to the computer capacity and allows processing data at a very high speed even on ordinary office computers. This information retrieval technology is not just a theoretic development. It has been tested and successfully implemented in a project of giving legal advice via phone, where the speed of information retrieval is of crucial importance. And it will undoubtedly be more than useful in any knowledge base, analytical service and support department of any large firm. Universality and effectiveness of the SoftInform Search Technology allows solving a wide spectrum of problems, arising while processing information. These include the fuzziness of information (at the document entering stage it is possible to immediately define whether such a document already belongs to the data base or not) and the similarity analysis of the documents which are already entered into the data base, and the search for semantically similar documents which saves time spent on selecting the appropriate key words and viewing the irrelevant documents.