[Purpose/Significance] In recent years, large language models (LLMs) have achieved revolutionary breakthroughs in semantic understanding and generation capabilities through massive text pre-training. This has injected brand-new impetus into the field of knowledge engineering. As a structured knowledge carrier, the knowledge graph has unique advantages in integrating heterogeneous data from multiple sources and constructing an industrial knowledge system. In the context of a paradigm shift in the field of knowledge engineering driven by the emergence of open-source LLMs such as DeepSeek, this study proposes a cost-effective method for constructing domain knowledge graphs based on DeepSeek. We aim to address the limitations of traditional domain knowledge graphs, such as high dependence on expert rules, the high cost of manual annotation, and inefficient processing of multi-source data. [Method/Process] We proposed the semantic understanding-enhanced, cue-engineered domain knowledge extraction technology system, constructed on the methodological framework of manually constructing ontology modelling. In order to process the acquired data, the ETL\MinerU and other tools were used, and the DeepSeek-R1application programming interface was then invoked for intelligent extraction. The ontology model was designed based on domain cognitive features and the multi-source heterogeneous data fusion method was used to achieve the unified characterization of the data structure. Furthermore, the DeepSeek and knowledge extraction were combined. Our system provides a cost-effective reusable technical paradigm for constructing domain knowledge graphs, as well as efficient knowledge extraction, leveraging the advanced powerful textual reasoning ability of the DeepSeek model. [Results/Conclusions] In this study, we take the construction of a domain knowledge map of the entire pig industrial chain as an empirical object. We define the structure of the industrial chain, identify 21 types of core entities and describe their attribute relationships. We achieve the knowledge modelling of the pig industry with a focus on smart farming. The methodology developed in this research was also employed to process and extract knowledge from online and offline resource data. Preliminary experiments demonstrate that DeepSeek-R1 exhibits an F1 value of 0.92 when recognizing the attributes of 161 diseases and 11 types of entities in pig disease control scenarios under zero-sample learning conditions. These experiments also ascertain the reusability of the methodology for other links in the chain. Concurrently, the constructed knowledge map of the entire industrial chain of pigs will be utilized for the design and validation of intelligent application scenarios, with the objective of promoting the intelligent information processing in the pig industry. This study proposes a synergistic paradigm for constructing domain knowledge graphs using DeepSeek, a method that combines deep learning with manual calibration for efficient knowledge extraction and ensure accuracy. This approach ensures the efficiency of knowledge extraction and verifies the knowledge extraction potential of LLMs in vertical domains. The study's findings contribute to the extant literature and offer a practical reference for the promotion of DeepSeek-enabled cost-effective construction of knowledge graphs.
[Purpose/Significance] Red cultural relics are a testimony to the arduous and glorious struggle of the Communist Party of China and its most precious spiritual wealth. In recent years, with the development of digital technology, the digital construction of red relics has made remarkable progress. However, the digital construction of red cultural resources is a complex and multi-dimensional process that still faces numerous challenges. With the comprehensive promotion of the Development Action Plan for the Trusted Data Space (2024-2028), the circulation of data elements, the co-creation of value, and security governance have become key issues in digital construction, which also brings new opportunities for the digital construction of red cultural resources. [Method/Process] Through literature review and online survey, we summarized the achievements made in the theoretical research and practical exploration of the digital construction of red cultural resources, and analyzed the challenges faced in terms of data circulation, technical application, security protection, governance mechanisms, talent and financial support. From the strategic, resource, technical, and social levels, we expounded on the value and significance of the construction of trusted data space in facilitating the digital construction of red cultural resources, and conducted a preliminary exploration of the construction approaches for the trusted data space. [Results/Conclusions] In terms of the key construction points, an operational framework for the trusted data space of red cultural relics will be established around three dimensions: construction of the data space supply system, construction of the core competence system, and cultivation of various types of data spaces. In terms of the implementation path, measures for the construction of the trusted data space of red cultural resources are proposed in four aspects: policy and system, technological empowerment, talent strategy, and social co-governance. Specifically, we provide institutional guidance in four aspects: improving the standardized management system and supervision mechanism, formulating technical specification standards, establishing a capital investment support mechanism and distribution system, and improving a dynamically optimized evaluation and feedback mechanism. We are providing technical empowerment in four aspects: conducting core technology research and development, strengthening the supply of basic capabilities, focusing on the development and application of artificial intelligence, and attaching importance to information security protection. We adopt the talent strategy of "attract, cultivate, utilize and retain" to build a high-level talent team for the trusted data space. We conduct social governance in three aspects: strengthening the overall planning and coordination of the government, promoting exchanges and cooperation among enterprises, and encouraging the public to jointly participate in building a new publicity and promotion matrix for the trusted data space of red cultural resources. The aim is to provide new perspectives for the quality development of the digital construction of red cultural resources.
[Purpose/Significance] High-quality development of new quality productive forces cannot be achieved without the support of intellectual property rights. Intellectual property (IP) has emerged as a new type of production factor with catalytic and leveraging effects, presenting both opportunities and challenges for the intelligent transformation and development of IP information literacy education in university libraries. This study aims to explore the current status and innovative paths of IP information literacy education in university libraries against the backdrop of new quality productive forces, providing theoretical references and practical foundations for the transformation and development of libraries. [Method/Process] Through a review of relevant domestic and international literature, it was found that existing research has primarily focused on investigating and analyzing the status of intellectual property information literacy education in universities, without incorporating an analysis of the demand for new quality intellectual property talent in the context of new quality productive forces. The article summarizes existing research and conducts an online survey of IP education practices in 30 national intellectual property demonstration universities, examining dimensions such as platform setup, participating entities, educational content, educational formats, branding, and special topic settings. From the perspective of participating entities and training objectives, educational formats and talent application, educational content and practical needs, as well as promotion goals and methods, the article discusses the issues currently existing in IP information literacy education in universities against the backdrop of new quality productivity, and proposes corresponding strategies. [Results/Conclusions] New quality productivity is driving the integrated upward development of various industries. As the main institution for IP information literacy education, libraries should seize the development opportunities, cultivate forward-looking new quality intellectual property talented people, continuously strengthen their IP information literacy teaching ability by analyzing their own weaknesses, They should grasp the current wave of emerging technologies, enhance human resources development, constantly innovate educational concepts, innovate service models, attract multiple entities to participate in building an industry-university-research integration community, and thereby promote the high-quality transformation and development of libraries. A limitation of this article is that it only conducts a survey of educational institutions in universities without involving a survey of educational object needs. In subsequent research, a method based primarily on field research will be adopted to expand the scope of the survey.
[Purpose/Significance] The evolution of smart libraries has ushered in a new era, marked by the integration of multimodal learning technologies that combine information from various modalities such as speech, images, and video. This cutting-edge technology is revolutionizing traditional information service systems by providing a more interactive, efficient, and personalized user experience. Unlike traditional studies that focus on single-mode interactions, this research examines the role of multimodal technologies in transforming library services and increasing user engagement. The study highlights its unique contributions to the field of library science, particularly in improving knowledge dissemination, enhancing user-centered services, and addressing emerging challenges in digital information management. These findings not only enrich the theoretical framework of smart libraries, but also provide practical insights into the design and deployment of advanced information services. [Method/Process] This study takes a multidisciplinary approach, drawing from library science, information technology, and human-computer interaction theories. It systematically reviews the historical development and theoretical foundations of multimodal learning technologies while emphasizing their relevance to intelligent library ecosystems. The analysis is organized around key application areas, including intelligent navigation, intelligent question and answer systems, user education with intelligent support, and immersive reading experiences. These areas were explored through a combination of case studies, and a detailed analysis of current library practices. To evaluate the practical impact of these technologies, the study employed qualitative methods, analyzing user feedback and system performance metrics. This comprehensive research also identifies current barriers to adoption, such as data privacy concerns, technology costs, and disparities in user acceptance across different demographics. [Results/Conclusions] The results show that multimodal learning technologies significantly enhance the functionality and user experience of smart libraries. They improve the accuracy of information retrieval, enable more interactive and immersive learning environments, and enable personalized services tailored to individual needs. Despite these advantages, challenges remain, particularly in areas such as securing user data, reducing deployment costs, and increasing accessibility for underprivileged users. The study proposes actionable strategies to address these issues, including enhancing system interoperability, refining ethical frameworks, and fostering human-computer collaboration to reduce barriers to technology adoption. It also identifies gaps in current research, such as the need for more empirical studies of long-term user interaction patterns and the scalability of multimodal systems in large library networks. Future studies could also explore the integration of emerging technologies such as augmented reality (AR) and artificial intelligence (AI) into multimodal library services to further improve their efficiency and reach. By providing a robust framework and practical strategies, this study contributes to the ongoing discourse on smart library innovation, and paves the way for more sustainable and inclusive information service models. It underscores the transformative potential of multimodal technologies to redefine library science and advance the global digital information landscape.
[Purpose/Significance] In the digital age, digital literacy is a core competency that individuals need to cope with challenges and achieve comprehensive development. A digital literacy assessment is the starting point for the improvement of citizens' digital literacy. It enables individuals to understand their level of digital literacy and provides organizations with the information they need to develop digital literacy construction policies and conduct education and training programs. At present, no literature is available on the comparative study of open digital literacy assessment tools. [Method/Process] First, we used keywords to retrieve information related to digital literacy assessment tools, and then we browsed and filtered the search results. Next, we read the information on the official website of the assessment tools and tried the tools, and finally we selected the tools. The article introduces eight online, open digital literacy assessment tools: MyDigiSkills tool, Digital Skills Accelerator tool, Ikanos test for citizens, Test your digital skills tool, The Digital Competence Wheel tool, Pix test, Digital Citizenship test, and Northstar Digital Literacy Assessment test. We carried out comparative research on these assessment tools from the following perspectives: development institution, assessment object, assessment framework, test design and assessment result. [Results/Conclusions] The article makes some suggestions for China regarding the formulation of national digital literacy frameworks, the development of online open digital literacy assessment tools, and the implementation of digital literacy education. The Party and State institutions should formulate the frameworks, along with the universities, industry associations and other institutions, as well as researchers in relevant fields. The framework should include the following aspects: the capability system, capability level, and capability description or examples. Organizations can actively develop digital literacy assessment tools for different groups based on the frameworks, adapting them as needed. One type of question can be used by itself or in combination with other types. The assessment tools should display the user's overall digital literacy level and the results of each ability assessment. This allows the user to understand their own digital literacy level and identify areas for improvement. The assessment results can be differentiated, and users can select their level or score form. Training and educational institutions should consider offering training courses related to various abilities. The courses should vary in difficulty to meet the needs of different groups and individuals.
[Purpose/Significance] The proliferation of generative artificial intelligence (AIGC) platforms has ushered in a transformative era for content creation. However, the industry is facing significant challenges due to technological homogenization. Platforms struggle to retain users, particularly Generation Z (those born between 1995 and 2009), due to standardized architectures, overlapping data sources, and repetitive training methodologies. Generation Z exhibits low loyalty and high migration tendencies. They are digital natives whose behaviors are shaped by unique socio-technological traits. They prioritize immersive experiences, thrive in circle culture, and rely heavily on peer-driven decision-making. However, existing studies primarily focus on generic user groups, and the ways in which these distinct characteristics influence sustained engagement with AIGC tools. This research bridges the gap by integrating the Stimulus-Organism-Response (SOR) framework with Generation Z's behavioral patterns, creating a new theoretical model that explains their constant usage intentions. These findings advance the theoretical discourse on user behavior in AI-driven ecosystems. They also offer actionable strategies for platforms to differentiate themselves in a user-centric way. This addresses critical challenges in an increasingly saturated market. [Method/Procedure] Guided by the Stimulus-Organism-Response (SOR) theoretical framework, this study proposed a model to examine the impact of xternal stimuli, such as circle influence, online word-of-mouth, and platform quality on continuous usage intention, as mediated by satisfaction and immersive experience., Individual innovativeness is considered to be a moderating factor. Data were collected via an online questionnaire distributed to 356 Gen Z users with experience using AIGC platforms. A 7-point Likert scale was used to measure constructs. Structural equation modeling (SEM) was employed to test the hypothesized relationships, including reliability and validity checks, as well as mediation effect, and moderation analyses. [Results/Conclusions] The findings reveal that circle influence, online word-of-mouth, and platform quality have a significant and positive impact on user satisfaction and immersive experience, These factors then mediate the relationship with continuous usage intention. Among these factors, circle influence demonstrates the strongest effect on satisfaction, highlighting Gen Z's social identity and dependence on their peers. Although platform quality is less dominant than social and reputational factors, it remains a foundational driver of user experience. It was found that individual innovativeness positively moderates the relationship between immersive experience and continuous usage intention. This indicates that users with higher innovativeness derive greater satisfaction from interactive experiences, which enhances their loyalty. However, no significant moderating effect of individual innovativeness was observed between satisfaction and continuous usage intention. Accordingly, the following suggestions are put forward to promote users' continuous usage intention. These suggestions include optimizing online word-of-mouth, strengthening circle operation, and enhancing the guidance of innovativeness. Future research could focus on exploring the differences in continuous usage intention among different types of AIGC platforms for Generation Z. Additionally, the model of influencing factors could be further refined to consider more complex real-world scenarios.
[Purpose/Significance] Since the 19th National Congress of the Communist Party of China proposed the Rural Revitalization Strategy, China has placed high priority on the digital development of rural cultural resources, considerin it a key factor in the comprehensive revitalization of rual areas. However, China's current efforts to digitize rural cultural resources still face structural challenges, including insufficient funding, a lack of unified technical standards, a shortage of professional talent, and weak endogenous motivation. Against this backdrop, studying successful international experiences, particularly those from Japan, which has a rural social structure similar to China's, can provide valuable insights into exploring sustainable digital pathways in China. [Method/Process] Grounded in Embeddedness Theory, this research develops a four-dimensional analytical framework tailored to the characteristics of Japan's rural cultural resource digitization: institutional embedding, technological embedding, cognitive embedding, and autonomous practice. The study examines how rural communities overcome digitalization challenges by integrating external resource embedding with endogenous motivation activation through systematic collection and comparative analysis of 20 representative case studies from Japanese villages. [Results /Conclusions] The study reveals that, although Japanese villages commonly encounter practical constraints such as budget shortages, limited technical support, and a lack of professional expertise in digitizing cultural resources, some have successfully transformed through innovative approaches. Key lessons include: 1) institutional embedding: social organizations establish precise and sustainable funding networks through specialized grants to compensate for insufficient government investment; 2) technological embedding: specialized enterprises provide customized solutions and integrated platform services to address "data silo" issues; 3) cognitive embedding: universities and non-governmental organizations (NGOs) enhance villagers' digital literacy through knowledge transfer and talent cultivation, fostering cultural identity; and 4) autonomous practice: villagers, driven by crisis awareness and cultural consciousness, initiate self-organized digitization efforts. They transition from "external" processes, such as blood transfusion to "endogenous" processes, such as blood generation. Implications for China focus on the following: 1) refining an institutional embedding mechanism guided by government policies and fueled by social participation, including dedicated funds and tax incentives; 2) promoting technology transfer from "niche-leading " enterprises to develop modular tools and open resource platforms; 3) strengthening collaboration between the government, industry, universities, research institutions, and application developers to nurture local digital talent through academic support and NGO mobilization; and 4) empowering villagers as active participants, applying digital outcomes in education, tourism, and other scenarios to create synergy between cultural preservation and industrial development. Although this study has established a representative sample set through rigorous case selection criteria, several limitations should be acknowledged. First, due to the lack of transparency in Japanese government, some cases with incomplete implementation details were excluded from the in-depth analysis. Future research should include on-site investigations to collect primary data and address this gap. Second, the current study relies primarily on literature and publicly available data. The next phase involves field research in Japan. Mixed methods such as in-depth interviews, participatory observation, and questionnaire surveys, will be employed to verify the accuracy of case data and explore the mechanisms of stakeholder interaction in the digitalization process. This approach will increase the breadth and depth of the research.
[Purpose/Significance] This paper aims to provide evidence synthesis crowdsourcing initiators with references to understand user participation behavior, propose and implement relevant behavioral intervention strategies, and guide and promote user participation. [Method/Process] A model of influencing factors of user participation intention was constructed based on the planned behavior theory (TPB), the technology acceptance model (TAM) and motivation theory. Hypotheses were also proposed. The relevant data of the sample objects were collected through a questionnaire survey, and the hypotheses were tested using a structural equation model. [Results/Conclusions] Evidence synthesis crowdsourcing itself is an academic, scientific and non-commercial task. In crowdsourced evidence synthesis, factors such as attitude, self-efficacy and trust significantly impact users' willingness to participate. The academic atmosphere has no significant impact on users' willingness to participate. Monetary rewards, recognition, and skill improvement have a significant positive impact on attitude, while perceived effort has a significant negative impact on attitude, and enjoyment of the activity has no significant impact on attitude. Attitude, self-efficacy, and trust directly influence willingness to participate, while monetary rewards, recognition, skill improvement and perceived effort indirectly influence willingness to participate through attitude. The order of influence of individual motivational factors on willingness to participate, from greatest to least, is as follows: skill improvement, recognition, and monetary rewards. The results show that, compared with monetary rewards, non-material factors are a more important driving force for users to participate in crowdsourced evidence synthesis. In terms of perceived behavioral control factors, efficacy is one of the main cognitive forces that guides users' willingness to participate. The degree of trust directly determines whether users are willing to learn about and participate in the project. Therefore, when organizing crowdsourcing activities and recruiting participants, as well as providing incentive measures, the crowdsourcing party should consider the following aspects: for potential target groups, online training opportunities, development of related learning resources, establishment of interactive feedback mechanisms, and an online community for timely communication can be provided. Participants can be provided with the opportunity to receive signatures, certificates or emails expressing appreciation and encouragement or other forms of recognition. Organizers can provide resources and support to reduce users' perceived burden. This can be done through examples such as organizing training and establishing communities. According to specific circumstances, appropriate monetary rewards can be provided to participants. Organizers should adopt strategies that improve users' self-efficacy, convey relevant information and provide assistance. To gain the trust of users and make appropriate commitments to protect their legitimate rights and interests, organizers are encouraged to provide detailed information about themselves, including the affiliation, research experience of the team and their academic achievements.
