Research On Smart Service Model Of Science And Technology Information Driven By Data

From the "information age" to the "data-driven" era of smart services,multi-source heterogeneous and massive data resources have become the starting point for people to solve problems.Incorporate multi-source heterogeneous and massive data resources into the intelligent service model of scientific and technological information.It is no longer limited to patent data,scientific and technological literature data,field research data,and scientific and technological project data involved in traditional scientific and technological information services.It should also cover a wider range.Data sources from various sources such as Internet data resources,scientific social media data resources,social network data resources,and government open data resources.Data resources drive the science and technology information service to realize the science and technology intelligence smart service model from the three key links of user demand perception,science and technology information content acquisition and science and technology information service scenario push,and realize the innovation of science and technology information service process.The purpose of this research is to explore the science and technology intelligence smart service model and its realization in the data-driven era from a new perspective,analyze the components and characteristics of science and technology intelligence smart service,and use empirical analysis to explore the idea of transforming the science and technology information service into a smart service model in the data-driven era.The scientific transformation of scientific and technological information institutions provides theoretical and practical support.Based on this,by defining related concepts such as "data-driven","dialectic relationship of intelligence,intelligence,and wisdom","smart services",and "sci-tech intelligence services",the research on smart services,science and technology information services,and science and technology intelligence services is reviewed Based on the status quo,comprehensively used the literature survey method,questionnaire survey method,situational experiment method,case analysis method and model construction method to analyze the data environment,driving mode,innovation mode and mode realization of science and technology intelligence smart service,and the formulation of guarantee strategy.(1)The core components and characteristics of the intelligent service of scientific and technological information are analyzed.The constituent elements cover seven dimensions,including data,users,technology,intelligent intelligence,scientific and technological information workers,and intelligent service platforms and methods.An in-depth analysis will be conducted from these seven dimensions,and on this basis,data-driven intelligent services of scientific and technological information will be discussed.The theoretical and practical foundation of the realization,and then interpret the four main characteristics of the scientific and technological intelligence intelligent service demand sensitivity,data multi-source,technical intelligence and service scenarioization.The systematic analysis of the components of science and technology intelligence services is the basis for the construction of the science and technology intelligence services model.Based on the literature research and the use of practical experience in other fields,detailed analysis of each component is made.The seven dimensions of data,users,technology,content,scientific and technological information workers,and intelligent service platforms and methods are interconnected and mutually corroborated,further enriching the knowledge system in the field of scientific and technological intelligence intelligent service research.(2)A smart service model of scientific and technological information driven by data was constructed.From the "data-driven" perspective,it cuts into the research on the construction of science and technology intelligence smart service models,and more embodies smart data services as the core components of smart services.It implements data-driven science and technology intelligence smart services,acquires user needs,and uses intelligent technology analysis to obtain intelligence to achieve Scenario-based service push and embedded scientific and technological information services.In this process,optimize the traditional scientific and technological information service model,optimize the various elements that make up the intelligent service of scientific and technological information,optimize the model andreflect the four characteristics of the intelligent service of scientific and technological information,and explore the advantages and disadvantages of the existing service model through literature research.Restructuring the mode and process of scientific and technological information services,focusing on the process of implementing intelligence,and how data drives intelligent intelligence services.(3)Analyze the implementation path of the intelligent service model of science and technology intelligence driven by data.From the analysis of multi-source scientific research big data analysis to the realization of the scientific and technological intelligence smart service model,it reflects the new paradigm and new thinking of data-driven as a scientific and technological information service,focusing on three scientific and technological information service processes from demand perception,content acquisition and service push It constitutes the realization path of analyzing the intelligent service model of scientific and technological information,and comprehensively uses the user portrait method,artificial intelligence method,scenario analysis and demand detection method to analyze the intelligent service model of scientific and technological information,and integrates the structure,type and attributes of scientific research big data in this process.The analysis results are analyzed to explore the application relationship of these data in demand perception,content acquisition and service push,so as to realize the intelligent service model of scientific and technological information and improve the research system of intelligent service of scientific and technological information.(4)A single-case horizontal research method is used to study the system optimization strategy of the intelligent service model of scientific and technological information under the data-driven background of Gewei software.Based on the analysis of the basic profile and development status of Gewei software,the development model of intelligent service of scientific and technological information of Gewei And analyzes its more advanced practical application results,and then draws on the aforementioned research on the intelligent service model of science and technology intelligence and its realization research,and proposes a strategy for optimizing the science and technology information service model of Gewei Softwarein a data-driven context.(5)Develop a data-driven intelligent service model guarantee strategy for science and technology information.Based on the constituent elements of the data-driven science and technology intelligence smart service model and the realization process of the smart service model,the data-driven science and technology intelligence smart service model guarantee strategy is formulated.The specific dimensions include data,users,science and technology information workers,science and technology information service agencies,Government departments,technologies and methods.Such as improving the data security guarantee mechanism,complete data analysis techniques,methods and tools,the construction of scientific and technological information service personnel,and establishing and improving relevant laws and regulations.The development of a data-driven strategy for the protection of science and technology intelligence service models should be based on four basic principles: key guarantee key elements,complete and unblocking science and technology intelligence service processes,overall balance of science and technology intelligence services,and joint building and sharing.In the data-driven era,the traditional scientific and technological information service model has been unable to meet the rising trend of users and the opportunities and challenges faced by the internal and external environment.Defining the connotation and extension of the data-driven scientific and technological information smart service and exploring the realization of the scientific and technological intelligence smart service model are beneficial to the methodology The cognitive level provides theoretical support for the transformation and upgrading of scientific and technological intelligence intelligent services.The data-driven scientific and technological intelligence intelligent service model constructed in this paper also has more practical value.