Subjects: Library Science，Information Science >> Library Science submitted time 2023-08-27 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Science and technology innovation is an important strategic support for modern economic system. After the reform and opening up, in order to promote China's economic development, China government introduced and implemented a series of science and technology policy aims to promote the development of science and technology. However, how is the founding effect of these science and technology and policies, how the changes in founding effects in the historical cycle of science and technology policy have caused wide spread concern.[Method/process] This paper conducted an empirical research of the National Science Fund for Distinguished Young Scholars Earth Science Project that has been in operation for 20 years(JieQing fund) as an example. In order to overcome the endogeneity problem caused by sample selection bias,the study used DID model to assess the effect of fund for distinguished young on the research papers output efficiency of scientists, and put forward the "environment-motivation-behavior" model to explain the research result.[Result/conclusion] The empirical results show that between 1994 to 2008, the significant funding effect of JieQing fund reached 12 years, with a significant proportion 80%. Scientists who have received JieQing fund(JieQing Scientists) were able to published more 0.412 to 3.234 papers per year than those who have not received JieQing fund. After data conversion,compared with other scientists who in the same period(Same period Scientists) of JieQing Scientists, JieQing scientists can published more 0.426-3.277 papers per year. The largest funded effect of JieQing fund was in 2002, but the funding effect was not significant in 2007 and 2008. When evaluating the effect of science and technology policy support, the control group can be constructed by this method in this paper to achieve the research purpose of causal effect inference.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-08-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] This paper aims at analyzing the research topics by going deeper into the semantic dimension.[Method/process] This paper proposed a semantic analysis method based on ontology, which includes the semantic type analysis and semantic relevance analysis. Then, in the empirical study, this paper took "medical informatics" as an example to verify the method. [Result/conclusion] This paper reveals that semantic type analysis can help researchers make a further semantic understanding for the research topics. Semantic relevance analysis analyze the semantic meaning of each research topic from the semantic perspective, when assisting researchers in analyzing a research topic in a field, it can realize the relevance analysis of every topic synthetically, and find some research intersections.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-08-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] This paper makes an empirical study on the evaluation of the service quality of provincial archives websites from the perspective of user perception. It can provide theoretical support and empirical references for the improvement of information quality, interface design and interaction quality of archives websites.[Method/process] An exploratory factor analysis was carried out on the valid samples of the questionnaire with the help of SPSS 19.0. First, this paper constructed the service quality evaluation system of archives websites. Second, it used the factor analysis method to assign weights to the system. Finally, it made an empirical analysis of four representative provincial archives websites.[Result/conclusion] This paper gets the advantages and disadvantages of the provincial archives websites' construction process through the comparative analysis and provides the necessary theoretical support for the quality improvement of the archives websites.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-08-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] We constructs the evaluation index system of the public archives service quality based on user perception so as to provide the evaluation criteria and data support for the improvement of the service quality of public archives.[Method/process] A framework and an index system of pre-design for the service quality evaluation of public archives based on user perception are constructed through questionnaire surveys. We performs an exploratory factor analysis to test the index system of pre-design by SPSS. According to the results, we make an amendment to the index system of pre-design.[Result/conclusion] The evaluation index system of the public archives service quality based on user perception is finally built. We can comprehensively measure the effects of public archives' service and user satisfaction.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance]Based on the current big data environment and the demand for knowledge services in the field of medical intelligence, this paper explores the training objectives and the construction of knowledge ecosystem of medical intelligence talents.[Method/process] First of all, from the perspective of medical intelligence personnel providing medical services, it explores its multi-angle analysis of user needs, multi-level matching of needs and resources, and the ability to provide knowledge services through multiple channels. Then, according to the composition and operation mechanism of the knowledge ecosystem, from three perspectives which include knowledge resources, knowledge service activities and knowledge innovation activities, it constructs a knowledge ecosystem, which includes professional curriculum system, teaching practice platform and knowledge ecosystem of educational incentives for the training of medical intelligence personnel. Finally, taking the reform of the curriculum system of the medical informatics major of Jilin University, the setting of the teaching practice platform and the training program of knowledge innovation activities as an example, this study analyzes the role of the knowledge ecosystem in the training process of medical intelligence talents.[Result/conclusion] The research constructs the goal and the knowledge ecosystem of cultivating medical intelligence talents driven by innovation ability, promoting the application of information science research theories and methods in medical intelligence.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Framing effects have a universal influence on individual behavior change decision,while there are few studies on the influence of framing effects on the process of behavior change. In order to determine the practical value of frame effect in process of behavior change,this study further explores the generation of frame effect and its influence mechanism on all stages of behavior change. [Method/process] This study takes changes in health behavior as an example. In the behavior change situation based on the transtheoretical model, this study analyzes the mechanism of framing effect, determines the moderators and mediator of framing effects, and then discusses the influence of message framing on individual decision-making tendencies at different stages of change, and how such decision-making tendencies affect the process of behavioral change. [Result/conclusion] This study provides a scientific basis for improving the level of information intervention program of health behavior change and individual health management.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] This paper designs a digital library user profile model, in order to explore the hidden value behind user data, comprehensively understand the needs of users, and provide new kinetic energy for the digital library to achieve precise services. [Method/process] This paper analyzes the connotation and characteristics of the user profile of the digital library, analyzes the data source and collection process of the user's profile, and regards its driven main route as digitization, labeling, association and visualization. From the natural dimension, interest dimension and social dimension, the article constructs a multi-dimensional user profile model. [Result/conclusion] The paper describes the construction process of the user profile model and designs a model framework for user profile. Simultaneously this article applies the user profile to the precise recommendation, personalized retrieval, accurate publicity and reference decision-making to promote the digital library's knowledge service upgrade.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] This paper proposes a recommendation algorithm based on user interest metrics and content analysis for the current issues of low personalization and poor recommendation in knowledge discovery services. [Method/process] Through characteristic word distribution, LDA topic distribution and citation association, this paper constructs the academic resource model. Through the measurement of user behavior (browsing time, downloading, forwarding, collecting, etc.), the user's interest in browsing academic resources can be calculated, and the user interest model is constructed. Matching the user interest model with the academic resource model and calculating its similarity, the user's interest value for each academic resource can be obtained. Finally, the TOP-N academic resources with the highest interest value can be recommended to the user. [Result/conclusion] The paper tests the effectiveness of the algorithm and the accuracy of the recommendation through experiments. From the experimental results, we can show that the recommendation algorithm can predict the user's interest better and the recommendation effect is significant, simultaneously providing ideas for precise recommendation of discovery services.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] In the context of big data, the user's knowledge needs are changed from decentralization to correlation, and multi-feature coupling is used to assist the knowledge discovery service to discover multiple correlations between resources, thereby optimizing knowledge discovery services. [Method/process] The concept of multi-feature coupling was defined by analyzing the internal and external attribute characteristics of the literature. This paper analyzed the relationship between multi-feature coupling and digital library knowledge service according to the function of multi-feature coupling. Then, by combining the existing knowledge discovery system, the multi-feature coupling structure was constructed. And the method of improving the supply side of the knowledge discovery service was proposed based on data layer-coupling layer-service layer. [Result/conclusion] The data layer guarantees the quality of the data, the data source changes from single to mixed; the coupling layer enhances the effect of coupling analysis, the unit of analysis changes from coarse-grained to fine-grained, the semantic association between fine-grained units attracts much attention; the service layer attaches importance to the user's interactive experience and develops multi-dimensional visualization function.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Under the data-driven environment, exploring the data-driven mechanism and optimization scheme of knowledge discover platform of digital library is conducive to provide theoretical support for supply-side reform from the perspective of methodology. [Method/process] By means of the system dynamics method, the data-driven dynamic formation mechanism of digital library knowledge discovery is presented through simulation. From the perspective of performance optimization, the granular computing method is used to provide a feasible solution for its drive optimization. [Result/conclusion] The data driving factors that influence the knowledge discovery of digital library mainly include data dimension, semantic association dimension, visualization dimension and value dimension. From the perspective of the formation of dimensions and the role of performance, the data drive of digital library knowledge discovery is a dynamic system of spiral development, the key point of performance optimization lies in the exploitation degree of knowledge value of data. The knowledge granularity as the starting point to achieve its optimization can better improve the data-driven effect of digital library knowledge discovery, according to the experimental studies.
Subjects: Library Science，Information Science >> Information Science submitted time 2017-12-05 Cooperative journals: 《数据分析与知识发现》
Abstract：【目的】对微博进行细粒度情感分析, 将情感分为 8 类, 并计算其情感强度值, 从而尽可能还原微博用户 情感。【方法】通过微博语料分析构建疑问词词表, 在大连理工大学情感词汇本体 DUTIR 的 7 类情感基础上, 丰 富一类情感“疑”, 并利用点互信息法构建表情符号词典, 还综合考虑否定词和程度副词对情感表达的影响, 利用 Python 从新浪微博上获取数据, 并用 R 语言的 jiebaR 包进行分词, 对情感进行分类并计算其强度。【结果】得到 微博用户对于糖尿病 7 类常用药物的 8 类情感占比及情感强度, 并通过正确率、召回率、F 值对结果进行验证, 其 中“怒”和“哀”的正确率最高, 分别为 85.73%和 83.05%, 而“乐”和“好”的召回率与 F 值均最高, 为 81%以上。本文 新增情感“疑”的正确率、召回率、F 值分别为 77.33%、78.58%、77.95%, 均值在 8 类情感中排名前列, 说明其情 感识别较好。【局限】由于本文依赖于情感词典进行情感分析, 因此为了更好的分析结果, 情感词典仍需进一步 完善。【结论】本方法具有较高的识别率和可靠性, 能够更好地对微博上的情感分类进行细粒度分析。
Subjects: Library Science，Information Science >> Information Science submitted time 2017-11-30 Cooperative journals: 《数据分析与知识发现》
Abstract：【目的】对微博进行细粒度情感分析, 将情感分为 8 类, 并计算其情感强度值, 从而尽可能还原微博用户 情感。【方法】通过微博语料分析构建疑问词词表, 在大连理工大学情感词汇本体 DUTIR 的 7 类情感基础上, 丰 富一类情感“疑”, 并利用点互信息法构建表情符号词典, 还综合考虑否定词和程度副词对情感表达的影响, 利用 Python 从新浪微博上获取数据, 并用 R 语言的 jiebaR 包进行分词, 对情感进行分类并计算其强度。【结果】得到 微博用户对于糖尿病 7 类常用药物的 8 类情感占比及情感强度, 并通过正确率、召回率、F 值对结果进行验证, 其 中“怒”和“哀”的正确率最高, 分别为 85.73%和 83.05%, 而“乐”和“好”的召回率与 F 值均最高, 为 81%以上。本文 新增情感“疑”的正确率、召回率、F 值分别为 77.33%、78.58%、77.95%, 均值在 8 类情感中排名前列, 说明其情 感识别较好。【局限】由于本文依赖于情感词典进行情感分析, 因此为了更好的分析结果, 情感词典仍需进一步 完善。【结论】本方法具有较高的识别率和可靠性, 能够更好地对微博上的情感分类进行细粒度分析。
Subjects: Library Science，Information Science >> Information Science submitted time 2017-10-11 Cooperative journals: 《数据分析与知识发现》
Abstract： 【Objective】Disease risk factors were discovered from heterogeneous electronic medical record data to provide reference for data mining and knowledge discovery. 【Method】Clinical electronic medical record data with various structures were selected, and three data mining algorithms, decision tree, logistic regression and neural network, were used to establish disease risk factor prediction models, and the three prediction models were compared and analyzed statistically. . [Results] The precision and recall of the decision tree prediction model are higher than those of logistic regression and neural network, and the overall performance of the decision tree is the best, but there is little difference between the three. [Limitations] The attributes of electronic medical records are not optimized. 【Conclusion】Decision tree is superior to logistic regression and neural network in the discovery of risk factors and prediction of disease. In the research, a knowledge discovery framework of heterogeneous data sources based on data mining algorithm is established, which provides certain reference and reference for the future domain knowledge discovery and knowledge base construction and the selection of data mining algorithms.
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