It is of great significance to clarify the characteristics and core principles of data productionand reproduction in the field of cultural heritage digital resources to promote the digital process of culturalheritage. Firstly the study analyzes data production and reproduction distinguishes between data sourcesand data producers and divides the production process into three stages data production data quasiproductionand data reproduction. It then interprets the production and reproduction process of culturalheritage digital resources from five dimensions elements technology rights culture and value andsummarizes the key cores in the development of cultural heritage digital resources. This study clarifies thedata production process and its boundary in the field identifies the underlying logic of each productionstage and examines the attribute performance of the five dimensions. Finally it discusses developmentdirections based on five key aspects elements integration virtual-real field interaction rights allocationcultural innovation and value realization.

The retrieval of red documents is an important pathway for advancing the construction anddeep utilization of red digital resources. At present the red document-based retrieval mainly relies onmetadata in which the query formulation strategies and navigation design mechanisms fail to adequatelymeet diverse user needs. In particular existing approaches lack in-depth mining and content-levelpresentation. To address the problems above this study proposes a user-centered knowledge retrievalsolution for red documents which integrates both the functional features of retrieval systems and theunique characteristics of red documents. The model incorporates cutting-edge human-machine intelligencetechnology into the current metadata-based retrieval framework. Specifically it enriches the retrievalscope through entity-level knowledge extraction from document content and introduces two queryexpansion modules namely a 􀆵 semantic expansion module and a 􀆵 human-AI interaction module .These modules provide users with expanded query terms at multiple levels of knowledge representation.Accordingly we developed a knowledge retrieval prototype system for red documents and conductedmultiple user experiments for evaluation. The results show that compared with existing metadata-drivenretrieval platforms our proposed system has more advantages in functional richness and user satisfaction. In addition the two newly proposed query expansion modules have their own distinct characteristics andapplicability to meet different types of search needs. These findings provide certain technical referencesfor the transformation and development of red document retrieval services towards a more knowledgeableand intelligent direction.

Traditional term weighting algorithms often overlook the semantic information of terms inscientific literature thereby failing to accurately assess the importance of terms and leading to lowaccuracy in the retrieval of scientific literature. In order to fully utilize the semantic information of termsthis paper proposes a semantic-based term weighting algorithm aimed at improving the accuracy ofretrieval in scientific literature. The proposed algorithm will utilize semantic information weights tomeasure the importance of term􀆳s semantic information. Simultaneously the algorithm will also calculatethe keyword weight of terms based on the TF-IDF algorithm. By combining these two weights acomprehensive term weight is obtained to gauge the importance of the term. In the experiments the termweighting algorithm proposed in this paper demonstrated better performance compared to traditional TFIDFand BM25 algorithms effectively enhancing the accuracy of retrieval in scientific literature.

The reconstruction of new-type reading spaces has become an important pathway for promotingthe high-quality development of public cultural services. Based on Lefebvre‘s theory of spatialproduction this paper constructs a three-dimensional analytical framework of  functional integrationcollaborativegovernance-cultural localization and applies it to empirical case studies of the ShanghaiLibrary East Xujiahui Academy and Hongkou Peace Academy. The findings reveal that functionhybridization expands spatial boundaries and enhances the service efficiency and coverage throughtechnological embedding and business integration collaborative governance achieves a dynamic balancebetween public welfare and sustainability through a multi-party co-governance mechanism and culturallocalization strengthens cultural identity and a sense of belonging by activating historical context andcommunity memory. These three are interwoven to form a linkage mechanism of  technologicalempowerment—institutional collaboration—cultural inheritance. Building on these insights this paperfurther proposes optimization strategies such as joint operation of the main and branch librariestechnology-empowered scenarios and property rights separation reform providing replicable and scalablepractical approaches for the reconstruction of new-type reading spaces.

With the rapid development of Artificial Intelligence Generated Content AIGC technologyhow university libraries use AIGC technology to improve service quality has become a key research focusat present. This study aims to explore how AIGC technology can empower innovation in university libraryservices investigate its practical application in domestic and foreign university libraries provideinspiration for innovative application of AIGC technology to achieve smart services in university librariesand propose future pathways for technological innovation and intelligent service optimization. This studyis conducted from two perspectives theoretical literature analysis and practical problem-driven .Firstly using the bibliometric tool VOSviewer we explore and visualize academic papers from bothdomestic and international sources to compare similarities and differences in research directions andapplication practices of AIGC in university libraries. Secondly by conducting research on AIGC applications on the websites of China􀆳s 􀆵Double First-Class universities and QS Global Top 50 universitylibraries this study systematically analyzes the current status and effectiveness of AIGC technology inuniversity libraries from multiple dimensions such as knowledge retrieval resource recommendationintelligent consultation personalized services literature mining and analysis knowledge graphconstruction classification and indexing intelligent reservation services and intelligent collectiondevelopment. The research summarizes the advantages and disadvantages of AIGC technology in subjectservices for university libraries and proposes a roadmap for university libraries to apply AIGC to enhancesmart services providing reference for the intelligent transformation of university library services.

Recognizing named entities in the texts of ancient Chinese science and technology haspresented a unique challenge in recent years. In response we introduce a novel named entity recognitionNER method DLEBERT-MRC which is grounded in a machine reading comprehension MRCframework and utilizes a domain lexicon-enhanced BERT model to extract contextual information fromboth questions and target texts. The introduction of domain-specific lexicons through a bilinear attentionmechanism between transformer layers significantly enriches contextual information. SoftMax is employedin the decoding layer to accurately predict the start and end positions of entities in the input text.Furthermore we constructed an ancient Chinese science and technology NER dataset employing theBIOES scheme. The dataset derived from Baidu Encyclopedia is designed to align with thespecifications of MRC tasks. Experimental evaluation verifies the effectiveness of the proposed methodwhile ablation experiments demonstrate the importance of each component of the model.

In response to the scarcity of training data in the field of ancient Chinese poetry we constructthe POEM-NER dataset for ancient poetry focusing on collecting descriptive poetry data related to naturalscenery and utilizing the BIOES method for entity annotation. To overcome the limitations of traditionalnamed entity recognition NER methods in handling the complex sentence structures of ancient poetryand the extraction of relatively singular features we propose the DMFF-APNER method based on dualchannelmulti-granularity feature fusion for ancient poetry NER. First we pre-train the SikuBERTmodel on ancient poetry corpora obtain multi-granularity feature vectors using Word2Vec and use FLATfor embedding fusion. Next the information vectors are input into the BiLSTM and IDCNN dualchannelsfor parallel feature extraction. The extracted contextual and local features are then dynamicallyfused through an attention mechanism. Finally predicted sequence labels are obtained through CRFdecoding. Comparative and ablation experiments on the open-source C-CLUE dataset and the POEM-NERdataset demonstrate that DMFF-APNER model can effectively utilize multi-granularity features to enhancethe model’s semantic representation capability. Furthermore the use of dual-channel technology in the feature extraction layer complements the two types of features thereby significantly improving entityextraction performance. The F1 values on the C-CLUE dataset and the POEM-NER ancient poetry datasetreach 82. 66% and 86. 02% respectively.

The proposal of new-quality productive force has greatly accelerated the process of socialdigital transformation. In this context data-intelligence literacy has become more and more importantwhile the cultivation of such literacy among college students as prospective members of the workforcehas also attracted growing attention. This study utilizes analytic hierarchy process AHP to construct anevaluation index system for assessing the data-intelligence literacy of Information Resources Managementstudents in the context of new-quality productive force from four dimensions data-intelligence ethicsthinking knowledge and competence in order to establish an evaluation framework that canscientifically measure students‘ data-intelligence literacy. The results of the study show that dataintelligenceethics and thinking are the most important factors for measuring data-intelligence literacy.Among them data-intelligence security ethics is the first guarantee for the use of data-intelligencetechnology critical thinking is the key to cognition and data basics is an important prerequisite.However the practical use of data-intelligence technology has not yet become a priority

The innovation of intelligent technology has led to significant changes in user informationbehavior placing higher demands on professional competencies in the information field. Based on thisthe reform and optimization of human-computer interaction HCI courses have become a key issue inenhancing the adaptability of information resource management education. This study examines 27iCaucus member universities in the iSchool Alliance and comprehensively uses descriptive statisticscoding analysis topic modeling and text clustering methods to analyze from dimensions such as degreeprogram design course quantity and categories and curriculum chain design. The results show that theHCI courses are characterized by interdisciplinary skill integration a combination of theory and practicean emphasis on user-centered design and responsiveness to emerging technologies. In terms of teachingmethods project-based curriculum practice is widely adopted. In curriculum design students’ interactivedesign ability innovative and critical thinking and communication and collaboration skills areemphasized. Regarding cutting-edge technologies VR / AR / MR and brain-computer interfaces havereceived attention while some universities have also incorporated emerging areas such as human-AI interaction human-robot interaction and human-centered computing into their curricula.

The article focuses on the renowned duo South Gu and North Zhao in the field of ancientbook version cataloging examines from a comparative perspective the career contributions and academiccharacteristics of two representative figures Gu tingling in the south and Zhao Wanli in the north. Itdiscusses their representative achievements the guiding aims of their work in the collation of ancientbooks the interplay between northern and southern scholarly contexts and the continuity and inheritanceof academic research.

Drawing upon historical materials this article presents an overview of Huang Jingwan’s lifeand summarizes his contribution to library practice. Huang founded several mobile libraries civilianlibraries and children‘s libraries to promote public welfare initiated and served in the Shanghai LibraryAssociation and compiled bibliographies and library surveys. This article identifies the core of Huang‘s library ideology as the development of a hierarchical public library system consisting of family childrenand mobile libraries. Huang’s library thought and practice were mutually reinforcing embodying theirpopular micro-level pragmatic and cross-disciplinary nature. Huang made a distinctive and lastingcontribution to the development of modern Chinese librarianship.

Qinheguan Diary was collected in Peking University Library the author was recorded as yuanjun . After verification it is known that the author of the diary was Zhu Junying a Beijing officialin the late Qing Dynasty. The six volumes of diaries recorded six years‘ events in terms of 1869 18971899 1900 1901 and 1902. Zhu Junying has generations lived in Beijing and served as a school officialof the Imperial Academy for nearly thirty years so his diary can be used as a reference document tounderstand the daily work and recreational life of the Qing Dynasty’s officials in lower- and middle-class.During the 1900-Incident Zhu Junying stayed at the Imperial Academy and his diary recorded the socialreality and the restoration of order after the Boxer Rebellion and the Eight-Power Allied Forces enteredBeijing which is of great historical value.

The newspaper office of Minli Newspaper caught fire on March 6 1911. In order toresponding to the emergency the principal issued handwritten lithographic copies for publishing asscheduled which are known as Minli Newspaper in distress . Four argumentative articles which authoris Song Jiaoren and using the alias as Yufu were published in these copies they are respectively On theSadness of Yunnan Border Affairs 3 Refusing to Serve as Prime Minister On the Current DiplomaticSituation of China and On the Undetermined Boundary Zone in Southern Yunnan none of which hasbeen found in Song Jiaoren’s monograph or related research works. At present various versions of theSong Jiaoren Collection include Song Jiaoren’s argumentative articles from March 1911 which run fromMarch 4th to March 20th with a 15 day gap from March 5th to 19th. These four lost articles which werepublished on March 10 14-16 15 and 19 1911 respectively could partially fill this gap and they havegreat literature value for a complete understanding of Song Jiaoren’s thinking on frontier historygeography and current affairs and politics before the 1911 Revolution.