[Purpose/Significance] As an important entry scenario into the application layer of the meta universe, digital collections can not only solve the identity authentication and rights governance problems of digital resources in the meta universe, but also become an important interface connecting a library's physical entity and the virtual space of the meta universe. At present, digital collections have attracted much attention in digital art, digital publishing, digital cultural creation, museums and other fields, but relatively little attention has been paid in the field of libraries. As a new business form in the digital economy era, digital collectibles have typical characteristics such as uniqueness, traceability, immutability, and ease of ownership confirmation. They are the perfect display of digitalization, virtualization, and ownership confirmation of library collection resources (such as books, ancient books, map literature resources, and various digital resources) in the metaverse space of libraries. Therefore, based on a scientific definition of the connotation and characteristics of library digital collections, we attempt to explore their value chain of "resources creativity casting dissemination service". [Method/Process] This article analyzes the differences and connections between the metaverse and digital collectibles, explains the connotation and characteristics of library digital collectibles, and conducts in-depth analysis of the paradigm construction of library digital collectibles' value chain from the perspective of the metaverse from five dimensions: resource end, creative end, casting end, distribution end, and service end. The scene embedding of its value chain is divided into structural embedding. There are three modes of functional embedding and memory embedding and they are explained separately. [Result/Conclusion] Research suggests that digital collections mainly originate from NFT, which is a local concept of NFT's localization of digital assets in China. Digital collections mainly include works of art, ancient books and documents, precious cultural relics, digital cultural creation, digital publications, model surroundings, news collections, digital music, 3D models and other types. Their digital resources are mainly text, images, audio, video and 3D models. Their creation sources are mainly from physical entity resources and virtual digital resources. Library digital collections are generated based on the policy environment, technical conditions, resource structure, business characteristics, and cultural precipitation in which Chinese libraries are located. They strip away the attributes of NFT virtual finance and virtual currency, and have Chinese characteristics and library business characteristics. Blockchain (especially alliance chain) technology is used to digitize the casting, distribution, and circulation of library specific collection resources, literature resources, or digital resources, the only trusted digital rights certificate provided for collection and use.

[Purpose/Significance] Literature classification is a fundamental task in library and information service, which is of great value for information resource management, and literature retrieval and acquisition. Deep learning-based literature classification methods are the current mainstream methods in text classification, which employ neural networks to model and use the textual content for literature classification. This approach only utilizes the information of the literature itself, but ignores the knowledge of the association between the literature. By observing the data, we found that literature in the same category tends to share more keyword information. The literature can build association networks through keywords to form structural relationships between literature. We attempt to utilize this structural in-formation to improve the performance of literature classification. [Methods/Process] This paper proposes a method that can model the structural representation of the literature and employ this representation to enhance traditional literature classification methods. Specifi-cally, we first constructed a large-scale keyword dictionary based on the collected data from about 930,000 documents. Second, we extracted the keyword set from the titles and abstracts of papers by a two-way maximum matching algorithm and constructed the keyword-literature graph data with the literature and keywords as nodes and the inclusion relationship between the documents and keywords as edges. The literature was connected with each other by keywords. Furthermore, we employed graph convolutional neural network to model the literature graph and learn the representation of literature and keywords in the keyword-literature graph. The literature representation generated by graph neural network contained the structural relationships between the literature. In addition, we employed Bert+BiLSTM to model the textual content representation of literature. Finally, the structural and textual representations of the literature were concatenated, and the classification of the literature was performed based on this representation. [Results/Conclusions] We constructed a literature classification dataset containing 423 classes and divided the training set, validation set and test set according to the ratio of 8:1:1. We conducted literature classification experiments on this dataset. The experimental results show that the structural information of literature can effectively enhance the performance of traditional literature classification methods. The results of the stripping experiments also show that the structural information alone is insufficient for the literature classification task. Through detailed analysis of the error data, we found that the model still has problems in handling some less frequent keywords and concepts. In the future, we plan to use small-sample learning methods to solve the classification problem for literature categories with less data.

[Purpose/Significance] From the perspectives of strategic planning and implementation, this paper explores the development characteristics, development trend and practice path of agricultural knowledge service, and provides reference for the digitalization and intelligent development of agricultural knowledge service under the background of data-driven intelligence, and serves to support major national strategies such as rural revitalization and digital countryside construction. [Method/Process] In order to analyze the characteristics of agricultural knowledge service, this paper analyzes and summarizes the service from the perspectives of industry and discipline. In terms of industry, it focuses on the analysis of industry positioning of agricultural knowledge service, while in terms of discipline, the subject characteristics of agricultural knowledge service are analyzed. In order to grasp the development trend of agricultural knowledge service, this paper analyzes the service development course from the historical perspective and reveals the development trend. Finally, based on the above conclusions, combined with the needs of national strategy for agricultural knowledge service in supporting strategic development and serving rural construction, the development suggestions of agricultural knowledge service were put forward, including two levels of strategy and implementation. [Results/Conclusions] About the characteristics of agricultural knowledge service, under the perspective of industry, agricultural knowledge service takes knowledge service as the core; from the perspective of discipline, agricultural knowledge service is characterized with the service based on the agricultural field. From the development stage, agricultural knowledge service has gone through three stages. The first stage is the exploratory period of interwoven development with agricultural information service. The second stage is characterized with the explosive development of platformization. It is now entering the third stage - the stage of data-driven intelligence. From the perspective of the development trend, this stage is characterized with precision, intelligence, digitalization and knowledge. In order to promote the innovative development of agricultural knowledge service and better serve and support the national strategy, this paper puts forward development strategies, including the strategic level and the implementation level. At the strategic level, agricultural knowledge service should be guided by national strategies and policies, optimize the distribution of knowledge service, maximize the benefit of resource and service allocation, focus on the key points of national strategic development, and give priority to meet the key needs of national strategic development. At the implementation level, agricultural knowledge service should implement intra-industry and extra-industry cooperation, integrate superior resources, and promote the coordination between the service supply and the service demand, so as to build a harmonious knowledge service ecology.

[Purpose/Significance] In the information age, citizens have been given a unique identity: digital citizenship. As important participants in the digital society, digital natives have attracted researchers' extensive attention for their civic literacy online. This research aims to complement the research of digital citizenship, providing empirical support for promoting digital citizenship education and carrying forward educational informationization and the construction of a digital society scientifically. [Method/Process] Taking 995 college students as research objects, this study adopts structural equation model and fuzzy-set qualitative comparative analysis methods to investigate the impact of their digital nativities on their digital citizenship literacy and the configuration path leading to high digital citizen literacy, respectively. [Results/Conclusions] The results of structural equation model show that contemporary college students have a high level of digital nativity and digital citizenship literacy, and that the digital nativity can significantly predict the digital citizenship literacy. Besides, father's income and father's education background play a moderating role between digital nativity and digital citizenship literacy. Findings of fuzzy-set qualitative comparative analysis research show that there are two kinds of equivalent configuration paths leading to high digital citizenship literacy. The antecedent variables included in the first type of path (i.e., S1: growing up with technology * reliant on graphics for communication * comfortable with multitasking * thriving on instant gratifications and rewards) are exactly four attributes of digital nativity, which means that when college students' digital nativity is rated as high level, they will display a high digital citizenship literacy. Compared with the first type of path, the second type of path (S2a:growing up with technology * comfortable with multitasking * thriving on instant gratifications and rewards * gender * father's educational background * father's income, and S2b: ~growing up with technology * ~reliant on graphics for communication * comfortable with multitasking * thriving on instant gratifications and rewards * gender * ~father's educational background * father's income) includes fewer attributes of digital nativity but three other variables: gender, father's educational background and father's income. This paths means that the combination effect of students' individual characteristics can lead to higher digital citizenship literacy. In other words, when the difference in students' digital nativity is not statistically significant, the combination effect of gender, father's educational background and father's income variables can play a complementary role, finally resulting in higher digital citizenship literacy. In addition, two attributes of digital nativity: multi-tasking and instant gratification and reward, are the most effective for improving digital citizenship literacy. This study is a self-reporting study, which is inevitably affected by people's subjective judgment. In addition, the research sample needs to be expanded. Further study will consider introducing third-party evaluation to objectively evaluate the digital citizenship literacy of the subjects and collect more ideal samples which can represent the national college students better.

[Purpose/Significance] Interdisciplinary research can creatively solve complex problems in natural environment and human society through knowledge integration and penetration. With the increase of interdisciplinary research results, the evaluation of interdisciplinarity becomes increasingly necessary. How to establish an effective method for interdisciplinarity measurement and achieve a comprehensive measurement of scientific research papers is an urgent problem to be solved. [Method/Process] Based on the above background, this study takes the data of scientific research papers as the analysis source, deconstructs the interdisciplinarity of scientific research papers from multiple dimensions, constructs the feature set of interdisciplinarity of scientific research papers, and on this basis proposes the method for measuring interdisciplinarity based on the adaptive method of machine learning, and conducts a comprehensive measurement of interdisciplinarity. This study has certain positive significance for researchers to understand the interdisciplinary papers in the field. The work process is as follows: First of all, the basic concepts of interdisciplinarity are sorted out and related concepts are discriminated, and the index of interdisciplinarity of different dimensions is analyzed. Based on the connotation and characteristics of interdisciplinary research, the characteristic index of interdisciplinarity of scientific research papers is extracted from three dimensions: subject attribute, knowledge network topology and knowledge integration text content. Secondly, an interdisciplinarity measurement method based on machine learning is constructed. By analyzing information gain and feature similarity of input indexes and data in feature sets, a feature selection calculation method based on adaptive feature selection is proposed, and the accuracy of feature classification is maximized by machine learning classifier. At the same time, the feature subset that can best express the interdisciplinary is selected based on the adaptive selection of the minimum number of features, and the selected adaptive feature set is used in the calculation of the interdisciplinary of the paper, and the results of the calculation of the original feature set are analyzed comprehensively. Finally, an empirical study was carried out in the field of plant nanobiotechnology to verify the effectiveness of the index system and adaptive feature selection listed above, identify and screen papers with high interdisciplinarity in the field, measure the interdisciplinarity of papers and identify key influencing factors based on the calculation of subject attributes, knowledge network topology and knowledge integration text content features. [Results/Conclusions] The main empirical results show that, among the subject attributes, the balance degree and the difference degree have a greater effect on the interdisciplinary evaluation. The overall effect of knowledge network topology structure features is satisfactory, the distribution breadth of knowledge integration text content features has a greater effect on interdisciplinary evaluation, and the calculation effect is further improved by fitness weighted summation of each feature. The results demonstrate that the adaptive feature selection proposed in this paper can effectively screen the interdisciplinary related feature indexes, improve the reliability of the results, and achieve a comprehensive and in-depth measurement of the interdisciplinary of scientific research papers. This measure method avoids the subjective defects that may occur in qualitative evaluation and the problems that different measure indicators may produce contradictory results. It provides a new idea and direction for interdisciplinary measurement.

[Purpose/Significance] The agricultural cultural heritage embodies the traditional farming wisdom, unique natural scenery and rich biodiversity formed through hundreds and thousands of years of inheritance. The study of digital technology-enabled development and utilization of agricultural cultural heritage is conducive to fully exploring the modern value of agricultural cultural heritage, strengthening the integrated interaction with the key work of rural revitalization, such as the development of modern agriculture, the construction of beautiful countryside, the construction of ecological civilization, and the entrepreneurship and innovation of farmers. On top of that, it is beneficial to the sustainable development of agricultural cultural heritage and is related to the successful implementation of the rural revitalization strategy. [Method/Process] By using the methods of literature analysis, case study and field survey, the current status and problems of agricultural cultural heritage are comprehensively reviewed. There are some problems, such as insufficient application of innovation in agricultural cultural heritage areas and inadequate value exploration. In this regard, the article puts forward several measures for the development and utilization of agricultural cultural heritage resources enabled by digital technologies after the analysis of digital management of agricultural cultural heritage resources, including building public brands in agricultural cultural heritage areas to form industrial clusters. This article takes "Anhua Black Tea" as an example to analyze the brand digital marketing mechanism and takes Li Ziqi's short videos as another example to analyze how to attract e-commerce traffic and realize traffic in the new media era and build a local brand with local characteristics with the help of "Internet plus Agriculture." It provides ideas and solutions for the development and utilization of digital technology-enabled agricultural cultural heritage. [Results/Conclusions] With the transformation of social economy, the traditional production mode of agricultural cultural heritage can no longer meet the needs of modern society. In order to make agricultural cultural heritage continue to "live", it is necessary to explore its multiple values, enable the modernization transformation of agricultural cultural heritage with the help of digital technology, realize its living state inheritance, improve the comprehensive benefits of agricultural cultural heritage and maintain sustainable development. The study explores the digital development, open communication, new scene construction and innovative utilization of agricultural cultural heritage, which can be realized through the Internet and digital technologies. Agricultural cultural heritage has many characteristics, such as brand differentiation, brand subdivision, and precise description of natural scenery, high-quality agricultural products and cultural connotation of agricultural cultural heritage. With the help of new media marketing, the ecological advantages and industrial value of agricultural cultural heritage system are explored to maximize the value of resources. A limitation of this study is that there still lacks quantitative analysis. Future research will use structural equation model and other tools to analyze the factors that affect the conversion rate of agricultural account traffic from multiple aspects such as video content, audience and platforms.

[Purpose/Significance] With the further development of the integration of culture and tourism in libraries, the social benefits of the cultural resources of libraries will be created, the bright spots of culture and tourism in libraries will be explored, and the characteristic reading space will be enriched, promoting the transformation and upgrading of smart libraries, and social forces to actively participate in more activities. Some preliminary results have been achieved. In the new era, libraries have been given the request and expectation to provide services for the further innovation and development in the field of culture and tourism. [Method/Process] Based on the relevant research on "The integration of culture and tourism" in China in the past two years, most of them focus on a service mode and a single activity case, and seldom from the perspective of a library's IP construction practice to summarize the development path and strategy research. Based on the earlier culture research, this paper focuses on the practice of a library's IP construction, adding the product value and activity brand influence of the library, and creating the exclusive path of the library, from the aspects of IP personification, library IP story, IP topic event marketing, travel IP service efficiency, digital IP integration, Internet celebrity IP card pulling local consumption, cross-border cooperation to activate IP culture, and practice and operation of brand IP. [Results/Conclusions] Through the library IP construction strategy, point-to-point combination, the cultural expression of the library reflects the library value of the integration of IP-enabled culture and tourism. From the position and cultural goal of the literary brigade embedded in the beginning of the IP planning of the library, the evaluation standard of the literary brigade activities at different stages, the relevance of the literary brigade of the IP application, and the team of personnel running the activities of the literary brigade of the IP, all of which need professional library organization construction and link intervention, but the library IP construction can integrate the development of culture and tourism, which is a new business area of the library. This paper mainly discusses the significance of IP construction and practical case level, but each path has not yet further reflected the impact of IP to the attractiveness of tourism evaluation mechanism. New opportunity creates new value, and the key point of a library's IP construction is not only the rational expression of cultural travel attributes, but also the emotional habits of cultural travel activities. Further research is needed to realize the value of cultural IP traffic.

[Purpose/Significance] Investigating the influencing factors in the general requirements of public digital cultural service in Fujian Province can provide reference for its sustainable development in this field. Referring to the previous research, this paper took the lead in using the binary logistic regression model to study public demand for digital cultural services in Fujian Province, and selecting universities in Fujian Province as the research object. It provides a significant practical reference basis for the construction of public digital cultural service in Fujian Province, and also has a certain theoretical reference value for research related to public digital cultural service. [Method/Process] Culture is related to people's well-being and the all-round development of people. In order to meet the people's growing need for a better life and protect the people's basic cultural rights and interests, there are more urgent requirements. Public digital cultural service, in the form of digitalization, breaks the restrictions of time and space, and serves as an important magic weapon to get through the "last mile" of public cultural service and improve the accessibility of the service. Digital construction helps to enhance the accessibility of public cultural service, improve the coverage and dissemination efficiency of the service, and promote public cultural participation. On the basis of the relevant literature, the article intends to discuss the impact and mechanism of public digital cultural service, that is, which factors have an impact on public cultural needs? How do these factors affect the public digital cultural service? What is the impact? Under what conditions is the impact more significant? This study was carried out by combining the methods of literature survey, quantitative and qualitative analysis, and obtaining sample data of users through the questionnaire to analyze the statistics with the SPSS 21 software and verify relevant research hypotheses and regression models. [Results/Conclusions] It is found that resource, subject, platform, infrastructure, and service efficiency can effectively strengthen the requirements for the public digital cultural service in Fujian Province. In view of this, we suggest establishing diversified platforms for digital service, integrating cultural resources, enhancing the establishment of service personnel, strengthening promotion and popularization, optimizing the facility and equipment of public culture, and improving the environment of the places. In the analysis of the influencing factors of public digital cultural service, this study is not comprehensive enough. In the future, it is possible to sort out the factors affecting public digital cultural service more comprehensively, and a more comprehensive sample can be used in our study.