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Internet had evolved as the means of scientific communication and exchange of research information. Nowadays the methods of information search in Internet are extremely advanced, but paradoxically precisely the subject search for scientific information tends to be rather difficult and time-consuming.
This is caused by the fact, that it is impossible to formulate exactly a subject in the terms of descriptor search, and it leads to oppressively ambiguous results.
On the other hand, for library search there exist tables of subject classification, used as universal standards ? Universal Decimal Classification (UDS), Dewey Decimal classification (DDC), Library of Congress Classification (LCC).
They are oriented exactly for subject search, but are not too popular in Internet. The reason is simple: the indexing (assigning a code of subject classification) of a document should be performed by an erudite in all spheres of science, which is practically impossible in the light of existing information abundance. In the proposed method the indexing is performed automatically.
The proposed method consists of two stages: the system training and information search itself.
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50,000 USD
50,000 USD
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