AUTOMATED INFORMATION SYSTEM SEARCH AND ANALYSIS OF INFORMATION IN THE INTERNET
Today in our agile information world a capability to accept well-timed and right decisions, which are impossible without gathering, processing, storing, and analyzing big data, as well as providing results to a user, has a special meaning. One of such points is an immediate identifying of sites in Internet, which contain forbidden information (in the territory of the Russian Federation). The whole list of information, which is forbidden to distribute, is contained in the Federal law of the Russian Federation (№ 149 «About information, information technologies and information security»). Usually forbidden information is occurred on Internet sites, which are varied in technological and functional systems. In its turn forbidden information is unstructured and can be demonstrated in formats of text, which contains parts of different documents, audio and video tapes, images (photos, pictures). The article considers an approach of building information analysis systems, for immediate search of forbidden information in Internet, scanning information in public domain networks and processing big unstructured diversified data.