Subjects: Library Science，Information Science >> Library Science submitted time 2023-10-08 Cooperative journals: 《知识管理论坛》
Abstract： [Purpose/Significance] This paper aims to analyze the characteristics and advantages of digital note tools, so as to remove the obstacles encountered in the process of scientific research, dredge the scientific research process, and improve the scientific research efficiency. [Method/Process] Through literature analysis, network research and other methods, we sought relevant note-taking tools for the common pain points in scientific research activities, and explored its functional advantages as the starting point. [Result/ Conclusion] It is finally concluded that digital note-taking tools have considerable advantages in auxiliary supplementing human brain functions, solving process inefficiency and building knowledge networks, and can achieve the goal of enabling scientific research.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-05-22
Abstract： Purpose/Significance Trust is a key factor in maintaining collaboration and will result in knowledge transfer between scientists. It enables knowledge transfer from individual ownership to multi-person sharing and further promotes scientific development. The study of trust mechanism-oriented knowledge transfer can help the maintenance of trust relationship among scientific collaborators and promote knowledge transfer, thus facilitating the further development of science. Methods/Process In this paper, we first quantified the trust of scientific collaborators using the American Physical Society dataset (APS) and analyzed the trust distribution pattern among collaborators. Then, the knowledge transfer between research collaborators is classified into implicit and explicit, and the paths of knowledge transfer in the collaborative network are sorted out. Finally, regression analysis is used to verify the effect of trust among collaborators on the amount of knowledge transfer. Results/Conclusions The basic trust and knowledge transfer between scientific collaborators had a clear pattern of temporal resonance. Collaborative teams that generated implicit transfer had lower trust. Explicit transfer was more correlated with the trust, but implicit transfer was more dependent on. By clarifying the influence of trust mechanisms on knowledge transfer in scientific research collaboration, this study extends the study of trusting emotions to trusting behaviors. By quantifying the trust between scientific collaborators, the limitations of measuring static trust in a cross-section of collaboration are reduced.
Peer Review Status:
Awaiting Review
Subjects: Library Science，Information Science >> Library Science submitted time 2023-05-05
Abstract： Purpose/significance certifying the differences of IE effect caused by the personalized features of users, confirm the “first-principal factor” recognition of users from the theory of Information Ecology, creatively propose the idea of IE behavior determined by users themselves, with a view to provide support for the user-oriented information IE service. Method/process analyzing the difference of IE behavior based on the users’ personalized features using combined methods of qualitative, quantitative and networked experiment to deal with the hypothesis objectively and consistently. Result/conclusion testing 30 hypothesis concerning 8 kinds of features of users, finding the cause-effect relationship between users’ features and results of IE behavior. Finally concluding essentially such as IE is a complex self-adapted and self-similar process, apparently passive IE process and result embodies the users’ active matching incentive mechanism. Tables 16,reference 34.
Peer Review Status:Awaiting Review
Subjects: Library Science，Information Science >> Library Science submitted time 2023-04-20
Abstract： [Purpose/Significance] The study constructs a framework of intelligent library construction ideas for public libraries during the “14th Five-Year” Plan period, intending to provide reference and innovative understanding for the intelligent transformation of public libraries in China. [Method/Process] The study selected the strategic planning texts of 32 provincial public libraries and 15 sub-provincial public libraries in China as the sample for analysis, and the general objectives, development strategies, and specific actions about smart libraries in the sample were used as the basic analysis units for manual class coding to reveal the contents related to smart library construction in the planning texts. [Result/Conclusion] Active development of smart libraries has now become a basic consensus in public libraries. It is found that the path of smart transformation of public libraries mainly revolves around six aspects, including technology, space, resources, services, management, and collaboration and coordination. Future public library practices can start from three aspects, such as the overall construction of Digital China, the National Cultural Digitization Strategy, and the construction of great power of quality, to provide insights for their intelligent transformation.
Peer Review Status:Awaiting Review
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-14
Abstract： Purpose/Significance Combining scientific research team with algorithmic innovation and exploring its influence on algorithmic innovation from the perspective of scientific research team traits can help improve the academic capacity of scientific research team, which in turn can promote algorithmic innovation and scientific innovation. Method/Process Three research team measures, namely, research team size, number of research team institutions, and research team institution type, and two algorithm innovation evaluation indexes, namely, algorithm performance and academic output, are established. Taking 543 scientific research teams under the image classification task in the field of machine learning as an example, non-parametric tests and multiple linear regression models were used to explore the effect of scientific research team traits on algorithm innovation, and suggestions to enhance the scientific research performance of scientific research teams and promote algorithm reinvention were proposed based on the empirical results. Result/Conclusion All of the research team characteristics measures have an effect on algorithm innovation, mainly: the type of research team institution has a significant effect on algorithm innovation, the hybrid research team has the best performance in algorithm model accuracy, and the enterprise research team has the best performance in algorithm paper citations; the research team size has a positive effect on algorithm performance and academic output; the research team The number of institutions has a positive effect on the academic output and a negative effect on the algorithm performance.
Peer Review Status:Awaiting Review
Subjects: Library Science，Information Science >> Library Management submitted time 2022-09-03
Abstract： Abstract： Purpose/Significance Exploring public library services abroad from a resilience perspective can provide an important reference for the future construction of an adaptive public library service system in the context of a resilient society. Method/Process Based on relevant foreign research literature, it first explains the theoretical basis of public libraries' participation in resilience building, secondly analyses and summarises the behavior of public libraries' participation in resilience building, and finally put forward future research prospects. Result/Conclusion Public libraries are an integral part of resilient cities, and they help to build resilience in cities by building strong links with society through concrete actions. Future research should further elaborate the theoretical framework of resilient society from the perspective of LIS disciplines, analyze the role of public libraries in building resilient cities, build adaptive service systems, strengthen empirical and contextual research, and in the process also focus on internal organizational resilience.
Peer Review Status:Awaiting Review
Subjects: Library Science，Information Science >> Information Science submitted time 2022-09-02
Abstract： Purpose/Significance With the advent of the Big Data era, users are in urgent need of efficient access to valuable information in the midst of extremely complex information, especially in literature reading, where it is crucial to quickly grasp the core content and topic ideas of the text. Method/Process This study proposes to use both text body and abstract as citation sources, and combine the word frequency features of statistical learning method and semantic features of machine learning method to obtain text candidate citation words, and then combine the advantages of both methods by semantic similarity calculation to reflect the accuracy and comprehensiveness of the citation results as a whole. Result/Conclusion The experiments show that automatic text citation based on multi-feature fusion is feasible and has better citation results.
Peer Review Status:Awaiting Review
Subjects: Library Science，Information Science >> Information Science submitted time 2022-09-01
Abstract： ［Purpose /significance］Briefings are an important intelligence product. Unesco publishes a large amount of high-value specialized literature, and in order to meet the needs of users for international expertise, it is necessary to quickly develop information briefings and improve intelligence services. Method /Process Based on the “Selective Attention Decay Theory” in Cognitive Science, this paper investigates the Generation of Information Briefings as an analog process of human cognitive information processing, and investigates the method of Automatic Cross-Linguistic Summary Generation. Based on the “ Decay Model” of Selective Attention, an integrated design was developed using the Cognitive Load Capacity at three levels: topics, topic sentences, and briefings. Then, the KeyBERT and Transformer algorithms were used to extract topic words and generate abstracts for the scientific and technical reports published by Unesco, and the information briefings were generated quickly and evaluated using Information Entropy and ROUGE Values. Result/conclusion The experiments show that the method has advantages in Information Entropy and ROUGE-2 and ROUGE-L Values, indicating that the Selective Attention Decay Model can improve the summary effect and cover the core information of the text. The study further finds that the close integration of Cognitive Science and Computational Models has a significant effect on improving the interpretability and scientific quality of information briefings, resulting in a computable and interpretable model for Information Briefing Generation and knowledge services.
Peer Review Status:Awaiting Review
Subjects: Library Science，Information Science >> Library Management submitted time 2022-08-25
Abstract： Purpose/Significance With the far-reaching influence of the tide of science and technology on library career, "transformation and reform" has become a major proposition in the library field. What does the current university library look like in the eyes of users? It is of great significance to explore the users’ perception of university library image for improving the image of university library and promoting its overall development. Method/Process In view of the lack of user perception research on the image of college libraries in China with user review data from third-party review websites, based on comments on libraries of universities included in the “double first-class” construction collected from the public comment network，this paper analyses the overall image，cognitive image and emotional tendency perception of university libraries by using TF-IDF keyword extraction, LDA topic clustering algorithm and ROST CM6.0. Result/Conclusion The results show that the users mainly hold a positive attitude towards the image of university libraries, though they have different emphasis on the image perception of different components. Finally, this paper puts forward some strategies to improve the image of university libraries.
Peer Review Status:Awaiting Review
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