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  • Research on the Construction of Knowledge Graph of Intangible Cultural Heritage from the Perspective of AIGC
    CHEN Yucheng, LI Yang, LIU Jiangfeng, YANG Fan
    Scientific Information Research. 2024, 6(2): 115.
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    [Purpose/significance]Intangible cultural heritage is an important component of human civilization, which is of great significance for protecting and promoting national spirit, enhancing national identity and cohesion. [Method/process]This paper explores how to utilize the advantages of  AIGC, combined with traditional deep learning methods, then construct a comprehensive and efficient map of intangible cultural heritage knowledge. [Result/conclusion]In the classification study of intangible cultural heritage projects, the fine-tuned Baihuan-7B has the best effect, with an macro-F1 value of 0.7688. In the extraction of intangible cultural heritage attribute information, RoBERTa has the best effect, with an F1 value of 0.7085. The 2-Gram BLEU generated by fine-tuning Baihuan-7B is 0.2052. Combining the results of attribute extraction and generation, an efficient and comprehensive knowledge graph is constructed. [Innovation/limitation]This study uses a generative large model to assist in the establishment of knowledge graphs, focus on national-level intangible fruit projects, not induding provinciul-level projects with high reasearch value.
  • Research on Knowledge Graph Question Answering Model Based on Representation Learning
    YU Chuanming, WANG Feng, ZHANG Zhengang, KONG Lingge, AN Lu
    Scientific Information Research. 2021, 3(1): 56.
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    [Purpose/significance]By combining knowledge graph representation learning and word representation learning,this paper explores the question answering model based on knowledge graph,so as to realize the utilization of structured knowledge with high accuracy and wide coverage in the knowledge graph.[Method/processe]This paper proposes a knowledge-based QA system,a framework integrating knowledge graph representation learning and word representation learning,and uses comparative and empirical research to explore the influence of different representation learning models and network structure on the effect of knowledge-based QA system.Firstly,the knowledge graph representation learning algorithm is used to generate the vector representation of entities and relations. Secondly,the generated entity and relation vectors are used as supervisory signals to train the vector representation of the problem.Finally,the best answer of the matching problem in the knowledge graph is selected by the triple representation generated by the problem.[Result/conclusion]The experimental results show that different representation learning model and network structure have a significant impact on the effect of knowledge-based question answering.Compared with the baseline method,this method can significantly improve the effect of knowledge base question answering.The research plays an important role in promoting the application of deep learning in the research of knowledge-based question answering.
  • Research on the Influencing Factors of Patent Invalidation under the Background of Infringement Litigation
    PENG Qining, LIU Bingxiang, FU Zhenkang, FENG Guangyu, BEI Wenyu
    Scientific Information Research. 2024, 6(1): 75.
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    [Purpose/significance]Taking patent infringement as the starting point, this paper explores the influence mechanism of different factors on the tendency of patent infringement declaration, then compares and analyzes the differences in the influencing factors of invalid declaration under different infringement themes in the same field.[Method/process]Firstly, this paper uses the LDA topic model to subdivide the infringement topics in the selected emerging industry field, and understands the different infringement topics and infringement keywords of the infringement patents in this field;Secondly, the statistical correlation model is used to calculate various data indicators under different infringement classification topics and comparatively analyze the correlation between invalid declaration tendencies. Finally,by constructing a multi-feature fusion random forest model, the patents under different infringement classification topics are identified and trained for invalid declaration classification, and the LIME model in machine learning can be explained. Explain the degree of influence of the measurement index features in the model.[Result/conclusion]According to the correlation analysis after topic classification, it is found that under different topic classifications, the selected feature indicators not only have different overall influence on the determination of invalidity after infringement, but also have different influencing factors and influence degree rankings in different classification results. There existed significant differences in the classification rules and classification indicators relied on by different classification topics.
  • Intelligent Capabilities of Traditional Knowledge Organization Methods
    SU Xinning
    Scientific Information Research. 2024, 6(1): 1-9. https://doi.org/10.19809/j.cnki.kjqbyj.2024.01.001
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    [Purpose/significance]By analyzing the system and rules of traditional knowledge organization methods, the intelligent capabilities of traditional knowledge organization methods are refined and integrated into artificial intelligence（AI） technology, to enhance the precision and efficiency of AI in information processing. [Method/process]This paper reviews the development of knowledge organization and analyses the inherit structure and mechanisms of traditional knowledge organization methods. [Result/conclusion]Research suggests that over centuries of development and evolution, knowledge organization has gained the ability to reflect knowledge systems and disciplinary systems across different disciplines from diverse perspectives, establish semantic relations from diverse knowledge associations, and associate and integrate knowledge of different forms, types, and structures using scientific knowledge organization methods. These capabilities provide more effective ways for artificial intelligence to grasp knowledge systems, explore knowledge relations, reason about association probabilities in scientific problems, expand or refine knowledge and terms, as well as analyze relationships between things. The development of artificial intelligence in the field of information processing should be closely coordinated with knowledge organizations, to fully unleash its potential intelligent capabilities.
  • Analysis of American Think Tanks' Views on China-US Chip Competition and Its Enlightenment
    HE Bingcheng, YANG Guoli
    Scientific Information Research. 2024, 6(3): 98-110. https://doi.org/10.19809/j.cnki.kjqbyj.2024.03.008
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    [Purpose/significance]This paper focuses on the viewpoints of leading American think tanks on chip competition with China, aiming to unravel the logic behind the formulation of U.S. chip policies towards China. It also seeks to explore innovative pathways for the development of China's chip industry and provide strategic recommendations beneficial to Sino-American chip competition. [Method/process]The study selects 20 representative research reports from 9 prominent think tanks and employs a literature analysis approach to dissect the viewpoints, motives, and potential influences found in these reports. [Result/conclusion]The results reveal that most American think tanks adopt a firm stance, perceiving the rise of China's chip industry as a threat. Calls for sanctions against Chinese chips dominate the mainstream discourse. In response, China should strengthen its own innovation strategy and actively address the situation through avenues such as deepening Sino-American dialogues for understanding and seeking international multilateral cooperation.
  • Sentiment Analysis of Online Healthy Community Based on Semantic Enhancement
    HAN Pu, YE Dongyu
    Scientific Information Research. 2024, 6(2): 88.
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    [Purpose/significance]In order to make full use of the value of text dependent syntactic information and prior emotion knowledge in emotion analysis， a semantic enhanced online healthy community emotion analysis model was proposed. [Method/process]Firstly， feature vectors for pre-processed online health community data are generated by Word2Vec and BERT; then local and global information of online review text are extracted using TextCNN and BiLSTM respectively based on dual-channel idea; then sentiment knowledge and dependency grammar information are merged in graph attention networks for semantic enhancement; finally， dual-channel features are fused and perform online health community sentiment classification in fully connected layer. [Result/conclusion]The comparative experiments on 31718 online health community comments show that the accuracy of the BERT-TBGH model based on semantic enhancement reaches 90.77%, which is 10.57% and 7.79% higher than the classical models TextCNN and BiLSTM and is 1.85% and 1.00% higher after introducing sentiment knowledge and character-level dependency syntactic information. The proposed model based on semantic enhanced BERT-TBGH model can effectively improve the effect of online healthy community emotion analysis. The defect of this article is that the experiment was limited to the online health community dataset and was not further validated on larger datasets.
  • Application of Large Language Model Methods in Scientific and Technical Intelligence Practice
    HUA Bolin, WANG Yingze
    Scientific Information Research. 2025, 7(1): 53-64. https://doi.org/10.19809/j.cnki.kjqbyj.2025.01.005
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    [Purpose/significance]With the strong ability to process large-scale datasets and outstanding performance in various natural language processing tasks, large language models （LLMs） have excelled across multiple industries. Since scientific and technical intelligence primarily relies on textual data, LLMs are naturally well-suited for this field, ushering in a new wave of transformative changes. [Method/process]This article discusses the advantages of LLMs from five perspectives: low-dimensional dense vector representations of text, large-scale pre-trained models, fine-tuning and prompt learning, high-quality large-scale training data, and human alignment techniques. [Result/conclusion]LLMs have extensive applications in tasks such as intelligence identification, intelligence tracking, intelligence evaluation, and intelligence prediction, resulting in significant optimization improvements or paradigm shifts.
  • Identifying Research Paths Based on Main Path Analysis:A Case Study of Knowledge Graphs
    WEI Ruibin, WANG Yidan, XU Yan
    Scientific Information Research. 2025, 7(1): 41-52. https://doi.org/10.19809/j.cnki.kjqbyj.2025.01.004
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    [Purpose/significance]The main path analysis of citation networks can be used to identify important literature in specific fields and can achieve the extraction of mainstream research threads. This paper will use the main path analysis method to analyze the research path of knowledge graphs and sort out the context of their research development. [Method/process]This paper firstly obtains research papers in the field of knowledge graphs from the Web of Science platform, then uses the HistCite software to generate a direct citation network of the literature, and then imports the data into Pajek to generate multiple main paths of the dataset, and combines the content of the papers on the main paths for qualitative analysis. [Result/conclusion]Through main path analysis, some main paths in the field of knowledge graphs can be quickly identified, such as the construction of knowledge graph, research on the application of knowledge graphs in recommendation and question answering and other application scenarios, research on the application of knowledge graphs in specific application fields such as manufacturing. These paths reflect the development context and research direction of knowledge graph technology. Review studies have played an important role in the development of the knowledge.
  • On Norms of WIKID Meme in Scientific and Technological Intelligence Study
    WANG Yanfei
    Scientific Information Research. 2024, 6(3): 1-9. https://doi.org/10.19809/j.cnki.kjqbyj.2024.03.001
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    [Purpose/significance]Integrity and innovation are important issues that the Institute of Science and Technology Intelligence needs to grasp. [Method/process]Regarding innovative issues based on adhering to principles and starting from historical facts, this article analyzes the role and significance of WIKID memes in scientific and technological intelligence study, explores relevant professional operational standards, proposes to strengthen the ability to compile WIKID memes under strategic concerns, implements intelligence thematic research based on dynamic clue discovery, and carefully examines the norms of meme characterization in perception scanning. [Result/conclusion]These are necessary actions for scientific and technological intelligence professionals and professional institutions to respond to the challenges of the times.
  • Research on Biosecurity Intelligence Work
    ZHANG Ting, LI Hui
    Scientific Information Research. 2025, 7(1): 109-117. https://doi.org/10.19809/j.cnki.kjqbyj.2025.01.010
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    [Purpose/significance]Biosecurity intelligence plays an important role in promoting the development of bio-medication industry, and it will contribute to the in-depth development in this field by sorting out the research issues of Biosecurity intelligence. [Method/process]Firstly, the concept and classification of biosecurity intelligence are elucidated. Following this, from the foundational theories of intelligence studies and biosecurity science, the application of these theories in the work of biosecurity intelligence is analyzed. Subsequently, an overview is provided of research on biosecurity intelligence work geared towards biosecurity governance within China, alongside which the challenges faced by such work in our country and corresponding strategies are put forward.[Result/conclusion]Future Biosecurity intelligence work needs to progress from being fragmented to interconnected, and from scattered to comprehensive, driving the development of the Biosecurity intelligence system. On one hand, attention should be given to the application and innovation of advanced science and technology, as well as tools and methods, in biosecurity intelligence work. On the other hand, strategic positioning and legal affirmation must be provided at the institutional level, fostering the formation of synergistic forces for implementation, enabling the biosecurity intelligence work system to evolve from differentiation toward integration. 
  • The Logical Implications of Open Public Data:Examining the Current Situation, Reviewing the Problems and Advancing the Rule of Law
    CHENG Yanlei, ZHANG Linxuan, ZHANG Xu
    Scientific Information Research. 2024, 6(3): 26-40. https://doi.org/10.19809/j.cnki.kjqbyj.2024.03.003
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    [Purpose/significance]Digital rule of law government is a new paradigm of government governance that is compatible with digital China and digital society. Data elements have become an important driving force for high-quality economic development in the era of digital, and public data openness is an important issue in the construction of digital rule of law government. [Method/process]In this paper, the regulations, policies and technical standards of the central government and 10 provinces, including Zhejiang, Shandong, Guizhou, Guangdong, Sichuan, Fujian, Guangxi, Hainan, Jiangxi and Jiangsu as research samples to examine the current system of regulations and policies on the opening up of public data in China, and to review the problems in the opening up of data on this basis. [Result/conclusion]The study finds that there are problems in China's public data opening such as uncertainty in the connotation boundaries, gaps in the regulatory policy system, lack of supply of administrative rule of law system, and immaturity in the mechanism for safeguarding citizens' data rights. In this regard, the concept of public data should be clearly defined and the nature of ownership, the regulatory policy system of public data openness should be improved, the administrative rule of law order of public data openness should be constructed, and the institutional mechanism of guaranteeing citizens' data rights should be improved, so as to integrate the opening up of public data into the track of the rule of law.
  • Knowledge Organization in the Era of Digital-Intelligence
    LAI Maosheng
    Scientific Information Research. 2024, 6(2): 1.
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    [Purpose/significance]This paper attempts to sort out the development context of the field of knowledge organization, its evolution law and the driving factors of evolution, expounds the new needs and tasks of knowledge organization of scientific and technological information institutions in the era of big data and the innovative exploration of scientific and technological information community.[Method/process]This paper preliminarily investigates the research progress, challenges and shortcomings in the digitalization-intelligentize of knowledge organization in recent years, predicts the future development trend and ideas, and emphasizes the need to take the road of combining professional elite with grassroots, human intelligence and data intelligence. [Result/conclusion]Several areas that need to be paid attention to and strengthened in the development of knowledge organization in the library and information community are proposed, namely, data labeling, organization and retrieval of datasets, and metadata in data management.
  • Analysis and Research on the Guiding Role of Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era in the Discipline of Information Resources Management
    DENG Sanhong, ZHANG Yiqin, WANG Hao,
    Scientific Information Research. 2025, 7(1): 1. https://doi.org/10.19809/j.cnki.kjqbyj.2025.01.001
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    [Purpose/significance]This paper explores the guiding role of Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era in the development of the Information Resource Management discipline with Chinese characteristics, providing significant insights for the innovative advancement of China's Information Resource Management discipline and strengthening the discourse power of Chinese social sciences. [Method/process]This paper systematically reviews the core elements of the development philosophy of the Information Resource Management discipline within Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era from a holistic perspective, elucidates the logical system of the development of the discipline from the diverse perspectives of national strategy integration, innovative development paths, and discourse system construction, and summarizes the value implications from both theoretical and practical viewpoints. Based on research papers published in core journals of the Information Resource Management discipline and related policy texts, this paper employs topic mining techniques to analyze the development overview and thematic evolution features of the research in the Information Resource Management field from a concrete perspective. [Result/conclusion]This study results indicate that Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era has provided guidance for theoretical innovation and interdisciplinary integration in the field of Information Resources Management. It has strengthened the discipline's role in supporting and responding to national strategies, offering both theoretical foundations and practical references for the high-quality development of philosophy and social sciences with Chinese characteristics.
  • Research on Emergency Information Needs of Community Vulnerable Groups in Emergent Epidemic Events Based on KANO Model
    CHEN Yanhong, WANG Huan
    Scientific Information Research. 2024, 6(1): 49.
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    [Purpose /significance]In the event of an emergent epidemic, the community is an important channel for vulnerable  groups to obtain emergency information, and understanding the information needs of vulnerable groups will help the community accurately provide information services, promote the emergency information reserves of the residents in the jurisdiction, and enhance their satisfaction. [Method/process]Taking the emergent epidemic as the background,the study combines the important information categories of the epidemic and related literature to investigate the emergency information needs of the disadvantaged groups in the community and classifies each need with the help of KANO questionnaire, in order to determine the priority of the community to optimize the emergency information service. [Result /conclusion]The priorities of emergency information services should be adjusted according to the basic demand,expectation demand,charm demand and irrelevant demand of vulnerable groups. By paying attention to the transformation of emergency needs and broadening the channels of information dissemination, which could guarantee the emergency information needs of vulnerable groups are satisfied.
  • Topic Mining and Dynamic Evolution Analysis of Patent Technology From the Perspective of Binary Evolution：Take the Field of Industrial Robots as an Example
    DOU Luyao, ZHOU Zhigang, LI Yi, JIANG Tao
    Scientific Information Research. 2024, 6(1): 102.
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    [Purpose/significance]From the perspective of "overall ecology + local stage", mining the technical theme and its evolution law in the field of industrial robots can not only know the overall process of technological development, but also clarify the specific paradigm of technology combination, which has important practical significance for insight into the technological progress and capital investment focus in the field of industrial robots.[Method/process]Based on incoPat patent database, taking the industrial robot field from 2003 to 2022 as an example, combined with Word2vec word vector model and LDA topic model, data mining and corpus expansion of patent texts were carried out, and then domain skill topics were identified at the overall ecological level. Then, combined with the technology life cycle theory, the technical topics of each stage are deeply explored （similarity calculation, correlation analysis, skill combination law）. The 45 kinds of technical topic paths are described and visualized, and the development status and evolution law of skill topics are clarified. [Result/conclusion]The research shows that the proposed method process can more accurately identify multiple topics in the field of industrial robots from the perspective of the overall ecology, and can identify the thematic focus from the perspective of local stages. In the process of technology development, the evolution of technology theme shows a change law of "diffusion → enrichment → systematization". By calculating the evolutionary strength to characterize the main path, it can also clearly show the fluctuation of key technologies in the field of industrial robots. The method and process proposed in this paper can provide strong theoretical and practical support for technology integration, capital investment, development and innovation in the field of industrial robots.
  • Quantitative Evaluation of Security Intelligence Policy Texts in China:Text Analysis Based on PMC Model
    ZHANG Bin
    Scientific Information Research. 2024, 6(3): 83-97. https://doi.org/10.19809/j.cnki.kjqbyj.2024.03.007
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    [Purpose/significance]Analyzing the laws, regulations and policies related to security intelligence in China can not only provide reference for decision-making, but also effectively enrich the connotation of China's overall national security concept. [Method/process]Using the LDA topic model, text mining was conducted on laws, regulations and policies related to security intelligence in China, and theme words were extracted from them. At the same time, based on the selection of policy indicators by existing scholars, scientifically select and design evaluation indicators for China's security intelligence laws, regulations, and policies. Referring to the overall national security concept, several representative policy contents were selected for analysis based on the PMC index model. [Result/conclusion]According to the random sampling method, 12 policy texts were selected, among which about 83.3% of China's security intelligence related laws, regulations and policies have acceptable consistency, especially the relevant laws and regulations formulated by the Standing Committee of the National People's Congress have high consistency and are acceptable. At the same time, the current laws and regulations related to security intelligence in China mainly focus on traditional security fields, with less attention paid to non-traditional security fields; The use of relevant policy tools is relatively reasonable; The current policy advantage lies in the fact that the policies implemented in the traditional security field can play a good role, while the weakness lies in the lack of a vertical network of security intelligence related laws, regulations and policies that cover various fields horizontally. This paper provides new tools and perspectives for analyzing policy texts, but further optimization can be made in indicator selection and assignment to enhance the credibility of conclusions.
  • Research on the Motives and Approaches for the Modernization of Technological Intelligence Service Capability Empowered by Data and Artificial Intelligence Technology
    YANG Jianlin, MIAO Lei, SHEN Shujing, LIANG Jiwen
    Scientific Information Research. 2023, 5(4): 1-16.
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    [Purpose/significance]In order to avoid intelligence failures in scientific and technological intelligence services as much as possible and improve the effectiveness of digital and intelligent transformation of scientific and technological intelligence services, it is necessary to strengthen the capabilities of scientific and technological intelligence services and promote the modernization of their capabilities.[Method/process]Based on the definition of data and artificial intelligence technology empowering the modernization of scientific and technological intelligence service capabilities, this study investigates the driving factors of data and artificial intelligence technology empowering the modernization of scientific and technological intelligence service capabilities, and proposes the main directions for data and artificial intelligence technology empowering the modernization of scientific and technological intelligence service capabilities.[Result/conclusion]Responding to the strategic needs of promoting Chinese path to modernization, adapting to the changes of the scientific and technological information service ecosystem, and coping with the difficulties faced by scientific and technological information work are the main reasons for the modernization of scientific and technological information service capacity; Systematically addressing technology modernization, management modernization, and model modernization of intelligence service, top-level designing the innovative paths for intelligence service technology, applying data and artificial intelligence technology to strengthen the capabilities of intelligence resource support, applying data and artificial intelligence technology to strengthen the capabilities of intelligence talent  support, improving the model of intelligence studies named as "DIKW chain resources + intelligent tools + all-source thinking", and  promoting seamless integration of "new data and artificial intelligence technologies+new intelligence methodologies+new intelligence process", are the main approaches for the modernization of scientific and technological intelligence service capabilities empowered by data and artificial intelligence technologies.
  • Research on Word Segmentation of Ancient Books Based on Domain Large Language Model
    ZHU Danhao, ZHAO Zhixiao, WU Na, WANG Xiyu, SUN Guangyao, WANG Dongbo
    Scientific Information Research. 2024, 6(2): 11.
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    [Purpose/significance]In this paper, we take the automatic text segmentation of ancient books as an entry point, introduce the "Xunzi" series of large language models, and explore the performance of large language models on the task of word division of ancient texts. [Method/process]This paper constructs an instruction dataset based on the Zuozhuan, with data cleaning and organisation.on this basis, 1 000 pieces were extracted from it as test data, then 500, 1 000, 2 000, and 5 000 pieces of data were used as training data to fine-tune the instructions and test their performance, respectively. [Result/conclusion]The experimental results show that only a relatively small amount of data is needed for the large language model to have a more desirable performance, and the Xunzi-Qwen-7B model shows optimal performance with an F1 value of 84.54% when the amount of fine-tuned data reaches 5 000 pieces.
  • Reconsidering Intelligence Consciousness of Intelligence Personnel from the Perspective of Cognitive Psychology
    SHANG Mengxiao
    Scientific Information Research. 2023, 5(4): 94-104. https://doi.org/10.19809/j.cnki.kjqbyj.2023.04.007
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    [Purpose/significance]Combined with the progress of relevant research in cognitive psychology, we rethink intelligence consciousness of intelligence personnel, propose the advantages of intelligence consciousness cultivation based on metacognitive theory, and provide new ideas for strengthening intelligence consciousness of intelligence personnel and promoting intelligence talent cultivation.[Method/process]According to the background of the times, it points out the significance and tendency of reexamining intelligence consciousness. Under the narrow concept of intelligence, based on theories related to consciousness, cognition and metacognition in cognitive psychology, the hierarchical structure and basic nature of intelligence consciousness of intelligence personnel were re-examined using literature analysis and interdisciplinary research methods, and the relationship between intelligence consciousness and metacognition was clarified accordingly.[Result/conclusion]Under the perspective of cognitive psychology, intelligence consciousness and metacognition are closely related and interact with each other, and intelligence consciousness cultivation based on metacognitive theory can make intelligence consciousness cultivation more operable and can provide concrete and feasible methods for strengthening intelligence consciousness and promoting intelligence talent cultivation.
  • Research on the Influence of Network Public Opinion on Criminal Legislation in Major Drug Safety Events
    GUO Tianyu, ZHAO Shulin, LI Zheng, HAO Jie, JIA Siyao
    Scientific Information Research. 2024, 6(3): 111-126. https://doi.org/10.19809/j.cnki.kjqbyj.2024.03.009
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    [Purpose/significance]Drug safety has a significant responsibility and is related to people's life and health. Through the network public opinion of typical drug safety incidents, judicial data of drug crime system, and evidence of actual legislative adjustment, the evolution law between public opinion, justice and legislation was explored.[Method/process]Taking the case of Lu Yong purchasing anti-cancer drugs and the case of Changchun Changsheng fake vaccine as examples, the public opinion data related to the events on Sina Weibo were extracted, and the SnowNLP method, integrated model based on logistic regression model (LR) and gradient lifting decision Tree (GBDT) were used to conduct quantitative research on the emotional characteristics and content characteristics of public opinion. At the same time, the effective judgment of the first instance of drug crimes was collected, and the big data information of judicial text was extracted by using ChatGLM and ERNIE 3.0 pre-trained language model. The above "public opinion - judicial" big data analysis results are integrated and docking, and the impact of online public opinion on judicial practice and legislation is analyzed. [Result/conclusion] In drug safety incidents, there is a trend that public opinion takes the lead in affecting judicial adjustment, and then judicial practice promotes legislative response, showing the law of evolution of "public opinion, judicature and legislation".