Research On Technology Evolution Path Recognition Based On SAO Cluster Analysis

The world today is in a new era of great development,great change and great adjustment.Human society is full of expectations and new opportunities are emerging one after another.As the first driving force for the development of human society,science and technology are shaping and influencing the competition pattern between countries and enterprises around the world.Especially stimulated by the COVID-19 pandemic sweeping the world,emerging technologies such as exclusive platforms,quantum computers,web3.0,and non-fungible tokens are accelerating their development.However,due to the high risks and uncertainties of emerging technologies,how to effectively predict and select an appropriate technological evolution path,and how to concentrate limited resources in areas with the most valuable and creative potential have become difficult problems for many scholars and researchers.Only by successfully grasping the technological development trend and identifying the technological evolution path in the current fierce competition can we provide guarantee for the country and enterprises to formulate effective technological development strategies.Based on this,this paper further optimizes and improves the traditional technology evolution path analysis method and process by integrating TRIZ theory,technology roadmap,natural language processing and SAO theory,and proposes a technology evolution path recognition research based on SAO semantic mining.In order to overcome the shortcomings of the existing methods,which are expensive and cannot go deep into the patent text,this paper introduces shallow syntactic analysis on the basis of traditional text analysis and mining.Type and extract the entity relationship of the article to obtain its SAO structure.By applying SAO semantic mining method to patent data,it can identify its "key problem-solution" from unstructured text information,so as to present its structure and function information completely.Based on this,the similarity calculation between patents is carried out through the constructed patent similarity calculation model,so as to obtain a technology map and a technology evolution path map based on the patent semantic information similarity matrix,which is convenient to display the technological evolution context intuitively and visually.Combined with TRIZ theory,it analyzes the evolution direction of problems and solutions under the same theme,and identifies the dynamic evolution relationship between technical points.At the end of the article,by applying the Fangda proposed in this paper to the field of quantum communication to conduct empirical research,draw a patent map and a technology evolution path map on the basis of the obtained patents,and provide a comprehensive understanding of the technology evolution path,technology development trend and future in the field of quantum communication.The potential opportunities are analyzed and summarized,the potential technical opportunities are explored,and corresponding countermeasures and suggestions for the future development of my country’s quantum communication field are put forward based on the foreseen results.Compared with the traditional technology evolution path analysis method,the analysis framework based on the SAO structure of the patent claims proposed in this paper is deeper inside the patent and more comprehensively expresses the semantic information of the patent text.Therefore,the SAO-based patent similarity calculation method can be more In-depth mining of patents in the same direction makes up for the current traditional technology evolution path drawing method with technical entities(usually high-frequency subject words)as the core carrier.Insufficiency of internal connection and evolution logic between technologies.With the help of the constructed technology evolution roadmap,this paper identifies the development direction of technology,provides solutions and new tools for scientific and technological research and development personnel of enterprises and universities,and provides new tools to help them grasp key problems,identify potential areas of technological innovation,and provide technical support for enterprises’ technological research and development.and industrial development is of great significance.