The principles, methods and algorithms for bibliographic search intelligence system design

Abstract

The author discusses the algorithms and scientifically substantiated principles for designing bibliographic search intelligent system based on modern intelligent technologies, e. g. intelligent linguistic text analysis, smart database management, and Internet search methods. For the first time, in the context of bibliographic theory and capabilities of modern intelligent software, the new algorithm for the integrated system of bibliographic and specialized periodicals search for publishing research papers is developed. The proposed methods comprise automatic generation of normalized keywords database on the basis of the UDC headings and assignment of the keywords to the papers in this normalized database by the intelligent linguistic text analysis system. Using the keywords as the tags in the form of UDC headings comprising every field of knowledge enables to tag and characterize scientific papers (articles) and scientific publications (journals, conference proceedings) in the most complete and specific way. The proposed bibliographic search system searches for scientific articles and specialized serials automatically by the normalized keywords, assigned to the scientific articles and journals through the intelligent linguistic text analysis. The study is to make social contribution by demonstrating the significance of design and use of the best practices, processes and strategies of bibliographic search that make the key element of modern science advancement. Moreover, in the social aspect, the bibliographic information is a way to find connections between the personal and social knowledge. The study findings can be implemented, in accordance with proposed algorithms, in designing the structure of specialized public Internet-based search resource.