МЕТОДИКА ДОСЛІДЖЕНЬ ІНФОРМАЦІЙНИХ НАУКОВО-ТЕХНІЧНИХ РЕСУРСІВ З ВИКОРИСТАННЯМ СЕРВІСУ «GOOGLE PATENTS»

Abstract

Summary The purpose of research. Development of the methodology and determination of instrumental means of extracting the mass of information in accordance with the question being investigated, to determine the relevance, development trends and novelty of the applied research in the field of agricultural mechanical engineering. Research methods. Analytical study of the necessary actions between the stage of defining the task and achieving the result, with step-by-step removal of contradictions at each stage with the involvement of the logic of existing search engines. The Google Patents (GP) search system service was used as a tool. The results of the study. The method of extracting the array of knowledge in a specific field is proposed, taking into account the factors specific to the field. Contains stages: - preliminary definition of keywords or name; - search for full-text sources using the GP service (including non-patent literature (Google Scholar)); - expert selection of the closest analogue source from the search results page; - study of the analogue source page, in particular the Patent Citations, Similar Documents, Concepts machine-extracted sections. As an intermediate result - clarification of predefined keywords and repetition of the search cycle. A necessary component of the process is a self-learning human intellect. As a result, a set of full-text sources containing a body of knowledge on the chosen issue is formed. An example of a process in relation to the field of agricultural mechanical engineering is given. Conclusions. A technique for extracting an array of knowledge to determine the relevance, development trends and novelty of applied research in the field of technical sciences is proposed based on determining the correspondence of keywords and studying causal relationships that coincide with the principles of patent activity. The definition of the basic analogue and its key features according to the stages of technology development allows us to evaluate development trends and the contribution of subsequent scientific and technical solutions. The proposed technique can be used for self-learning of human intellect (researcher’s intellect). Some complexity of information processing is that promising elements of scientific and technical solutions can be described not in text-sign form, but presented (published) in a graphic format. Improving the methodology is possible in the direction of greater formalization of obtaining an objective result and less dependence on the qualifications of the researcher. Keywords: agricultural mechanical engineering, research methodology, information resources, applied scientific research, Google Patents service, human researcher’s self-learning intelligence, self-learning of human intellect, graphical information, textual information, transformation of information into knowledge.