Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] As a highly computational humanities and social sciences discipline, information science has the characteristics of data science. Big data related technology can provide an effective means for information science. Therefore, establishing the information science oriented "Data Science and Big Data Technology" discipline that aims at training inter-disciplinary talents can promote the development of information science, and these talents have big data thinking and solid information science professional basis, mastering big data processing technology and analytical theory applied to the theory and practice of information science.[Method/process] We investigated the training objectives and curriculum model of big data related majors at home and abroad, summarized the development characteristics of subject education, and combined the teaching resources of domestic to design a training plan for big data professionals with information science orientation.[Result/conclusion] There are both connections and differences between information science and big data. Information science provides basic research methods for big data, promotes the fusion of multiple source data, and broadens the application fields of big data. Big data provides more possibilities for information science research, enriches research methods, improves research efficiency, and expands the scope of research. There are both necessity and irreplaceability of the talent training of information science oriented "data science and big data technology" discipline. It will fill the gap in this professional education in China. It is necessary to further reform and innovate the disciplinary system, and to establish more emerging courses that closely integrate big data and information science, such as literature big data analysis and user big data research, so as to systematically cultivate students' ability to integrate knowledge in the field of information science with computer technology and big data technology.
Subjects: Library Science，Information Science >> Library Science submitted time 2022-11-25 Cooperative journals: 《图书情报工作》
Abstract： This paper mainly studies the key technologies of multi-source knowledge fusion in the big data environment, and proposes a complete set of technology taxonomy based on the characteristics of multi-source knowledge objects in different fields to provide technical support and solutions for the realization of knowledge fusion. The study utilized qualitative analysis method to analyze the existing related research, and then within the same hierarchical level on the related contents of induction and deduction, used litera ture analysis method, to solve the problem of combing knowledge fusion, sum up the knowledge integration of task type and implement various tasks involved in the work process and its specific technology, and form a knowledge fu sion system. Considering all kinds of technologyJ s own characteristics, applicable knowledge objects, the application of abstraction of knowledge, the paper establishes the calculating layer, function layer and mission layer - three levels of technical architecture. These three layers contact each other, influence each other and interlock each other. The upper layer can be abstracted and associated with specific problems (tasks) of knowledge fusion. The lower layer can be embodied, that is, to find operational and computable technical methods to solve spe cific problems of knowledge fusion.
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