[Purpose/Significance] Under the new ecological environment of scientific and technological innovation supporting data-intensive scientific discovery, the new format of knowledge service is quietly taking shape. Text mining as the core of knowledge service is facing challenges under the environment of new knowledge service formats. This paper aims to discuss the development strategies of using text mining to carry out knowledge services in the new environment. [Method/Process]This paper sorts out the technical framework of text mining, and demonstrates that text mining is gradually maturing. Using the research and practice in the field of agriculture as a case study in such areas as information retrieval, intelligent question-answering, information monitoring and knowledge extraction, text mining has shown a good performance in scientific and technological innovation and industrial applications. [Results/Conclusions] This paper puts forward the knowledge service technology development strategies according to China's conditions: (1) constructing a specialized knowledge service system based on text mining technologies, (2) attaching importance to the construction of corpora and basic knowledge bases, and (3) giving priority to implementing the deployment of knowledge service technologies in key areas.

[Purpose/Significance] How to use the knowledge in the scientific and technological literature to train and improve the model of deep learning algorithm, and acquire knowledge and discover knowledge is an important subject of information research. In order to fully mine and utilize the value of literature knowledge, this paper proposes the goal of building an artificial intelligence (AI) engine based on scientific and technological literature knowledge. [Method/Process] It chooses the literature and information science work as the starting point and takes the scientific and technological literature as the most important carrier of human knowledge. This paper explores the essence of the rapid breakthrough of AI, and innovatively puts forward the construction idea of "science and technology knowledge engine" which is the transformation from "science and technology literature library" in the field of information science. [Results/Conclusions] This paper discusses the construction practice of AI engine based on scientific and technological literature knowledge and explores the method of using the deep learning technology to excavate knowledge to serve information research, so as to provide reference for peers.

[Purpose/Significance] This paper aims to study the organization and construction methods of the intelligence cognition models database to help scientists and information analysts to have an accurate understanding of the research area within a short period of time, and assist them in identifying technological opportunities and threats. [Method/Process] The intelligence cognition models database contains various technical elements and literature information across different subjects, so it consists of literature library, algorithm library, scientific/technical knowledge library, application cases library, etc. It has functions including research hotspots identification, technical performance comparison, information analysis methods recommendation, algorithm-aided design and so on. The construction process of the database includes the collection, verification, storage, organization, and utilization of the "intelligence cognitive models", among which the verification of the models is a crucial step. [Results/Conclusions] The intelligence cognition models database is of great significance to the scientific and technological information study and it can play the role of data infrastructures and information analysis toolboxes. The construction of the database requires the cooperation of the information analysts, scientists, and information technology specialists. In the future, the maintenance, application and upgrading of the models library need to be further considered.

[Purpose/Significance] Online encyclopedias such as Wikipedia include a large number of concepts. However, in such encyclopedias, there are no clear divisions between concepts and concepts, between concepts and disciplines, and between disciplines and disciplines. It embarrasses junior researchers regarding a certain discipline to obtain domain relevant knowledge in a systematic and low-efficiency manner. [Method/Process] To obtain information in a specific subject area and organize knowledge better, a new algorithm is designed for subject division. Specifically, approaches in complex network analysis are introduced for subject division, which helps to build a topic text network by the classical topic model. Then, the overlapping community label propagation algorithm is improved to identify the boundaries of different subject divisions. [Results/Conclusions] Finally, 300 Wikipedia entry texts were investigated as samples to evaluate the effectiveness of the proposed algorithm. Categories of experiments were conducted to analyze the community structure of the entry network and the complexity of the subject division, which helps to provide a corpus to build a subject knowledge base.

[Purpose/Significance] This paper aims to study relationships between the "four only" elements in Humanities and Social Sciences and compare the seriousness of the "four only" problem. It will help to grasp the key issues, so as to provide targeted policy recommendations for solving the "four only" problem. [Method/Process] This article analyzes relationships between the "four only" elements to find the key elements, then compares and analyzes the elements in terms of reward and scarcity, and further analyzes the severity of the "four only" problem. [Results/Conclusions] The study found that: thesis and works are the most important meta-research results of researchers in Humanities and Social Sciences; the rewards of different research elements are heterogeneous; "hats" is the most important research factor; the "only hats" is more serious than the other elements. Finally, the following policy suggestions are put forward: academic evaluation should pay more attention to the reward of publishing thesis and works; solving "only papers" problem can solve the "four only" problem; we must properly solve the "only hats" problem.

[Purpose/Significance] The article aims to show the situation of the online services for children in domestic libraries under the background of public health emergencies, and offer suggestions for online services for children. [Method/Process] Based on an on-line investigation of 50 Chinese public libraries during the period of libraries closed due to COVID-19, this article analyzes the online services for children during the epidemic. [Results/Conclusions] Results show that online services focus on the anti-epidemic knowledge, digital resource promotion, online story and lecture, online exhibition, online book recommendation and online interaction activities, etc. Public libraries should improve their ability of emergency management and popularize the anti-epidemic knowledge to children to reduce panic. On the basis of realizing the development of online resource sharing, public libraries need to further open up and make use of the mobile platform, introduce social forces to participate in coordination, so as to play their due role in the construction of the emergency management system for public health emergencies.

[Purpose/Significance] This paper aims to extract the development and transformation factors of supporting embedded resource services, focusing on the dynamic elements of the service upgrading era. It is necessary to further study the embedded service function mode of "public research" in the digital environment of university libraries. [Method/Process] Combined with the dimensions of "new quality of performances, new academic characteristics, new energy of spaces, new perspective of culture, and new intention of cooperation", this paper explores the service effect of sharing and exchanging feasibility of resource as information carriers, forms the theme element of continuous sharing and exchanges with the consideration of embedded service systems, guides the embedded service concepts, comprehensively plans and designs the fast key mode of digital services, and finds a new way out to serve the development and construction of information resources in universities.[Results/Conclusions] This paper takes the concept of mass research as the research starting point, the embedded service as the combination point, the enhancement of academic and exchange as the content principle, and proposes the function display channel suitable for university library resource services, reflecting the service function and value orientation of universities and libraries in the information age.

[Purpose/Significance] In view of the lack of vocational data literacy education, based on the cognitive survey of data literacy of teachers and students in Guangdong Polytechnic of Science and Technology (GDPST), this paper provides reference for vocational colleges to establish a scientific and reasonable data literacy training system, build the corresponding curriculum system, and rationally allocate limited teaching resources.[Method/Process] Based on the existing data literacy index system, the data literacy evaluation system of vocational colleges is constructed, and the cognition and ability of data consciousness, data collection, data organization and management, data analysis, data utilization and archiving, data ethics, and "third-order progressive" type of higher vocational data literacy education system are investigated by means of questionnaires. [Results/Conclusions] The results show that teachers and students in GDPST have a certain degree of data awareness, but their ability to obtain business data is insufficient. They have basic data analysis ability and expression ability, but their ability in exploring the in-depth value of data is insufficient. There are significant differences in data collection, organization and management, analysis, utilization, and archiving capabilities among groups. It is believed that the design of the education system should be carried out from the three tiered levels of "bottom-improved-advanced", so as to improve teachers and students' comprehensive ability of data literacy.