METHOD AND SOFTWARE FOR APPLYING METADATA TO SEARCH PROCESSES

Abstract

Nowadays, it is very popular to support scientific achievements with scientific metric databases. Scientometric science allows you to assess the depth of scientific articles, to give an objective assessment of new information in a particular field. For example, at the well-known ACM Conference on Human Factors in Computer Systems, every year, scientific papers come for peer review and their numbers have doubled in the last 10 years. But these are only the materials that have been reviewed. If we measure the number of articles submitted to the conference commission, we find that it has increased five times, that is, the real increase in the information flow in only one industry is more than 5 times in 10 years [5]. Such rapid, almost exponential growth in the flow of new scientific development means that in adequate timeframes, almost no one will be able to get acquainted with these materials, which leads to the fact that hypothetically promising technologies have not even been noticed by either the scientific society as a whole or the hypothetical society users. The rapid development of information technology is no longer news, and the further transformation of post-industrial society is closely linked to the acquisition of new knowledge and the effective management of what has already been acquired. Nowadays, it is very popular to support scientific achievements with scientific metric databases. Scientometric science allows you to assess the depth of scientific articles, to give an objective assessment of new information in a particular field. This has been shaping the problem of finding information in specialized systems, archives, including the Internet, for quite some time now. Of course, powerful Google search engines or CiteSeer can make it easier for a person to search and evaluate the relevance of the results they find. However, at the present stage of development, a scientific and creative search is still needed, if not entirely new approaches, it is possible to use non-trivial existing ones, which would improve the situation. Therefore this paper is devoted to the development and software implementation of the method of application of metadata in search processes. This software tool will allow you to increase the search results of documents that meet the query within a static collection of documents. A high level of problem solving has been achieved through the use of modern Java programming language. In this  thesis an analysis of modern models, methods and means of using metadata in the search processes; examines the existing analogs and the current state of technology in the application of metadata in the search process; the model and method of application of metadata in search processes is proposed; the key processes of the method of using metadata in the search processes have been developed and, based on this, a software tool was created; the program realization of the proposed method of using metadata in the search processes is proposed; Software product testing was carried out and analysis of the results was performed.