利用谷歌专利服务的信息科技资源研究方法

V. Vetokhin, I. Negrebetsky, T. Ryzhkova, Y. Salo
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引用次数: 0

摘要

研究目的。根据所研究的问题,开发提取大量信息的方法和确定仪器手段,以确定农业机械工程领域应用研究的相关性、发展趋势和新颖性。研究方法。分析研究确定任务和实现结果阶段之间的必要行动,在现有搜索引擎的逻辑参与下,逐步消除每个阶段的矛盾。使用谷歌Patents (GP)检索系统服务作为工具。研究的结果。提出了一种考虑特定领域特定因素的知识阵列提取方法。包含阶段:-初步定义关键字或名称;-使用GP服务搜索全文来源(包括非专利文献(b谷歌Scholar));-专家从搜索结果页面中选择最接近的模拟源;-研究模拟源页面,特别是专利引文,类似文件,概念机器提取的部分。作为中间结果-澄清预定义的关键字和重复搜索周期。这个过程的一个必要组成部分是自我学习的人类智力。结果,形成了一组包含所选问题的知识体系的全文来源。给出了一个与农业机械工程领域有关的过程实例。结论。提出了一种基于确定关键词对应关系和研究符合专利活动原则的因果关系的知识提取技术,以确定技术科学领域应用研究的相关性、发展趋势和新颖性。根据技术发展阶段对基本模拟及其关键特征的定义使我们能够评估发展趋势和后续科学技术解决方案的贡献。该技术可用于人类智力(研究者智力)的自我学习。信息处理的一些复杂性在于,科学和技术解决方案的有前途的元素可以不以文本符号形式描述,而是以图形格式呈现(发布)。在获得客观结果的更大形式化和减少对研究人员资格的依赖的方向上,改进方法是可能的。关键词:农业机械工程,研究方法论,信息资源,应用科学研究,谷歌专利服务,人类研究者自主学习智能,人类智能自主学习,图形信息,文本信息,信息转化为知识
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RESEARCH METHODOLOGY OF INFORMATION SCIENTIFIC AND TECHNICAL RESOURCES USING THE GOOGLE PATENTS SERVICE
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.
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