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@article{Zheng2023,

title = {Knowledge mining and graph visualization of ancient Chinese scientific and technological documents bibliographic summaries based on digital humanities},

author = {Xiang Zheng and Mingjie Li and Ze Wan and Yan Zhang},

url = {https://www.researchgate.net/publication/371132396_Knowledge_mining_and_graph_visualization_of_ancient_Chinese_scientific_and_technological_documents_bibliographic_summaries_based_on_digital_humanities},

doi = {10.1108/LHT-11-2022-0538},

year  = {2023},

date = {2023-03-05},

journal = {Library Hi Tech},

abstract = {Purpose This study aims to extract knowledge of ancient Chinese scientific and technological documents bibliographic summaries (STDBS) and provide the knowledge graph (KG) comprehensively and systematically. By presenting the relationship among content, discipline, and author, this study focuses on providing services for knowledge discovery of ancient Chinese scientific and technological documents. Design/methodology/approach This study compiles ancient Chinese STDBS and designs a knowledge mining and graph visualization framework. The authors define the summaries' entities, attributes, and relationships for knowledge representation, use deep learning techniques such as BERT-BiLSTM-CRF models and rules for knowledge extraction, unify the representation of entities for knowledge fusion, and use Neo4j and other visualization techniques for KG construction and application. This study presents the generation, distribution, and evolution of ancient Chinese agricultural scientific and technological knowledge in visualization graphs. Findings The knowledge mining and graph visualization framework is feasible and effective. The BERT-BiLSTM-CRF model has domain adaptability and accuracy. The knowledge generation of ancient Chinese agricultural scientific and technological documents has distinctive time features. The knowledge distribution is uneven and concentrated, mainly concentrated on C1-Planting and cultivation, C2-Silkworm, and C3-Mulberry and water conservancy. The knowledge evolution is apparent, and differentiation and integration coexist. Originality/value This study is the first to visually present the knowledge connotation and association of ancient Chinese STDBS. It solves the problems of the lack of in-depth knowledge mining and connotation visualization of ancient Chinese STDBS.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Zhou2021,

title = {Topic structure and evolution patterns of documentary heritage preservation and conservation research in China},

author = {Yaolin Zhou and Yun Bai and Yue Zhao},

url = {https://www.emerald.com/insight/content/doi/10.1108/LHT-08-2020-0184/full/html},

doi = {https://doi.org/10.1108/LHT-08-2020-0184},

issn = {0737-8831},

year  = {2021},

date = {2021-02-22},

urldate = {2021-02-22},

journal = {Library Hi Tech},

abstract = {This study aims to identify the prominent topics, the distribution and association characteristics of topics and the topic evolutionary trends of Documentary Heritage Preservation and Conservation (DHPAC) research in China.



Keywords of relevant papers in China National Knowledge Infrastructure (CNKI) were extracted as the data source in this study. First, frequency and co-occurrence of keywords of the selected papers were obtained by using SATI. Second, co-word network indicators were calculated with the Pajek software. Then, VOSviewer was applied to optimize the visualization of the sub-communities. Finally, a topics evolution map of this research field was implemented by CorTexT.



The research topics of DHPAC research in China were unbalanced but distinct. Topics of DHPAC research in China possessed inconspicuous orientation and consistency. The core topics had less influence on the overall network. A research system had formed with archival conservation and ancient books conservation as the core research directions. Research in this field had formed four continuous evolutionary paths about ancient books conservation, salvage conservation, archival conservation and archives conservation technology science with topics fusion and differentiation coexisting. Attentions on “ancient books conservation”, “paper relics conservation”, “electronic record”, “digitization”, “minority”, “documents in the republic of China” had increased during the past two decades and new hot topics of DHPAC research kept appearing in China.



This study synthesized and analyzed the research results of DHPAC research in China from a more comprehensive perspective and revealed the topic structure and longitudinal evolution process intuitively with co-word analysis and social network analysis, which can assist researchers to improve research systematization, discover new research directions and seek cooperative research path.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Zhou2019,

title = {Intellectual structure and evolution patterns of archival information resource research in China},

author = { Yaolin Zhou and Jingqiong Sun and Jiming Hu},

doi = {https://doi.org/10.1108/LHT-08-2018-0101},

year  = {2019},

date = {2019-06-01},

urldate = {2019-06-01},

journal = {Library Hi Tech},

volume = {37},

number = {2},

pages = {233-250},

abstract = {Purpose The purpose of this paper is to identify the leading topics and developmental trends of archival information resource research in China by visualizing the intellectual structure and evolution patterns of archival information resource research. Design/methodology/approach This study took China National Knowledge Infrastructure (CNKI) as the data source and extracted keywords from relevant articles in archival information resource research as the sample. First, the frequency and co-occurrence of keywords were calculated by using SCI2. Second, this study analyzed the co-word network indicators by using Pajek. Then, topic community detection was conducted by using a VOS viewer, as well as the visualization of intellectual structures. Next, this study developed a graphical mapping of the evolution of research topics over time by using Cortext. Findings The research topics of archival information resources in China were unbalanced but distinct. Researchers focus on the construction and utilization of archival information resource, which consist of five evident research directions. The phenomena of fusion and differentiation coexist in research topic evolution. There were both continuities of traditional research and innovations in emerging research. The archival information resource research tended to be systematized and extended, reflecting the vertical and horizontal extension of the research content. Originality/value Based on a large number of previous studies, this study adopted quantitative methods to reveal the intellectual structure and evolution patterns of archival information resource research in China, providing guidance for researchers and institutions to grasp research status and developmental trends.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}