基于学术传播视角的期刊编辑策划“知识图谱”更新模式研究

学术传播强烈依赖于期刊提供的发表渠道,但是期刊选题和定稿的工作模式中也同时存在限制“知识图谱”不断更新的消极因素。如何加速“知识图谱”更新,如何助力学术传播,成为当前期刊编辑策划的重要研究课题。结合期刊编辑策划工作经验,从学术传播视角分析了期刊编辑策划“知识图谱”更新模式,提出了数字时代呼唤“新程序”、专业素养期待“新能力”、服务机制探索“新驱动”等建议。希望对学术期刊持续更新“知识图谱”和助力学术传播具有借鉴和参考价值,以此促进学术期刊编辑出版范式革新和出版理念创新。

Hot spot tracking of f lood remote sensing research over the past 22 years:abibliometric analysis using CiteSpace

Background,aim,and scope In the context of climate change,extreme precipitation and resulting f looding events are becoming increasingly severe.Remote sensing technologies are advantageous for monitoring such disasters due to their wide observation range,periodic revisit capabilities,and continuous spatial coverage.These tools enable real-time and quantitative assessment of f lood inundation.Over the past 20 years,the field of remote sensing for f loods has seen significant advancements.Understanding the evolution of research hotspots within this field can offer valuable insights for future research directions.Materials and methods This study systematically analyzes the development and hotspot evolution in the field of f lood remote sensing,both domestically and internationally during 2000—2021.Data from CNKI(China National Knowledge Infrastructure)and WOS(Web of Science)databases are utilized for this analysis.Results(1)A total of 1693 articles have been published in this field,showing a stable growth trend post-2008.Significant contributors include the Chinese Academy of Sciences,Beijing Normal University,Wuhan University,the Italian National Research Council,and National Aeronautics and Space Administration.(2)High-frequency keywords from 2000 to 2021 include“remote sensing”“f lood”“model”“classification”“GIS”“climate change”“area”,and“MODIS”.(3)The most prominent keywords were“GIS”(8.65),“surface water”(7.16),“remote sensing”(7.07),“machine learning”(6.52),and“sentinel-2”(5.86).(4)Thirteen cluster labels were identified through clustering,divided into three phases:2000—2009(initial exploratory stage),2010—2014(period of rapid development),and 2015—2021(steady development of remote sensing for f loods and related disasters).Discussion The field exhibits strong phase-based development,with research focuses shifting over time.From 2000 to 2009,emphasis was on remote sensing image application and f lood model development.From 2010 to 2014,the focus shifted to accurate interpretation of remote sensing images,multispectral image applications,and long time series detection.From 2015 to 2021,research concentrated on steady development,leveraging large datasets and advanced data processing techniques,including improvements in water body indices,big data fusion,deep learning,and drone monitoring.Early on,SAR data,known for its all-weather capability,was crucial for rapid f lood hazard extraction and f lood hydrological models.With the rise of high-quality optical satellites,optical remote sensing has become more prevalent,though algorithm accuracy and efficiency for water body index methods still require improvement.Conclusions Data sources and methodologies have evolved from early reliance on radar data to the current exploration of optical image fusion and multi-source data integration.Algorithms now increasingly employ deep learning,super image elements,and object-oriented methods to enhance f lood identification accuracy.Recent studies focus on spatial and temporal changes in f looding,risk identification,and early warning for climate change-related f looding,including glacial melting and lake outbursts.Recommendations and perspectives To enhance monitoring accuracy and timeliness,UAV technology should be further utilized.Strengthening multi-source data fusion and assimilation is crucial,as is analyzing long-term f lood disaster sequences to better understand their mechanisms.

国内低氧训练研究现状的可视化分析

为了深入分析国内低氧训练研究的现状,运用CiteSpaceⅢ和CNKI的可视化功能对近20年来发表在国内体育核心期刊上有关低氧训练的文献进行计量学统计和可视化分析。结果表明,总体研究趋势以2008年为顶点呈正态分布,国内形成了凸显的科研力量。研究的热点主题包括低氧训练方式的多样化,低氧训练的监控,提高运动员的有氧和无氧能力,对机体的免疫力、认知功能的影响,在控重减肥中的应用,低氧训练干预下的氧化应激和细胞凋亡情况,低氧训练习服与基因多态性的关系,低氧训练对机体作用的分子机理的探讨等方面。新的低氧训练方式的应用、低氧训练的健康促进功能、低氧训练的分子机理的探讨和学科交叉成为今后的研究趋势。

Research on knowledge reasoning of TCM based on knowledge graphs

With the widespread use of Internet,the amount of data in the field of traditional Chinese medicine(TCM)is growing exponentially.Consequently,there is much attention on the collection of useful knowledge as well as its effective organization and expression.Knowledge graphs have thus emerged,and knowledge reasoning based on this tool has become one of the hot spots of research.This paper first presents a brief introduction to the development of knowledge graphs and knowledge reasoning,and explores the significance of knowledge reasoning.Secondly,the mainstream knowledge reasoning methods,including knowledge reasoning based on traditional rules,knowledge reasoning based on distributed feature representation,and knowledge reasoning based on neural networks are introduced.Then,using stroke as an example,the knowledge reasoning methods are expounded,the principles and characteristics of commonly used knowledge reasoning methods are summarized,and the research and applications of knowledge reasoning techniques in TCM in recent years are sorted out.Finally,we summarize the problems faced in the development of knowledge reasoning in TCM,and put forward the importance of constructing a knowledge reasoning model suitable for the field of TCM.

Analysis of the hotspots and trends in traditional Chinese medicine immunomodulation research based on bibliometrics

Objective To analyze the intellectual structure,hotspots and trends of traditional Chinese medicine(TCM)in immune regulation research.Methods The data were extracted from the Web of Science Core Collection(WoSCC)and the China National Knowledge Infrastructure(CNKI)and verified by two experienced TCM researchers.The time of literature retrieval is up to 2020.CiteSpace 5.7.R1 and Microsoft Excel 2016 were used for the statistical analysis and bibliometric diagrams,including the co-occurrence network of authors,institutions,countries,keywords,references,dual-map overlays of journals and citation bursts,etc.Results A total of 12270 publications related to TCM in immune regulation were included.The annual number of publications has increased in this field.There was close cooperation of countries and institutions,while the distribution of scholars was scattered.China was the core of the cooperation network.The dual-map overlays analysis of journals showed that core and marginal fields had increased.The keywords and references analysis showed that network pharmacology,metabolism and cancer were the most high-frequency keywords with high-intensity bursts.Conclusion TCM in immune regulation has attracted wider attention,with multi-country,multi-field,multi-disciplinary and multi-level research developing toward informatization.Network pharmacology,metabolism and cancer may be the focus of future research in this field.

Visualization analysis of the research status of FU Qingzhu’s Obstetrics and Gynecology based on bibliometrics

Objective This study examined the research status and development process of FU Qingzhu’s Obstetrics and Gynecology(Fu Qing Zhu Nv Ke,《傅青主女科》,FQZNK)in the past 40 years with bibliometrics and visual analysis.Methods Retrieved all related literature in the research field of FQZNK from the domestic and foreign databases:China National Knowledge Infrastructure(CNKI),China Science and Technology Journal Database(VIP),Wanfang Database,and Web of Science(WOS)core database,including Science Citation Index Expanded(SCIE),Social Sciences Citation Index(SSCI),and Arts&Humanities Citation Index(A&HCI).The search range was from January 1,1980 to March 10,2021.In addition,bibliometrics and CiteSpace 5.7.R2 software were used to analyze literature types,published journals,cited literature,the number of author publica-tions,co-author networks,co-institution networks,keyword co-occurrence networks,keyword clusters,and keyword bursts.Results A total of 678 valid records were included in the final dataset.Literature types,high publication journals,highly cited literature,high-yield institutions,high-yield research teams,and high-productivity scholars in this research field were found through bibliometrics.Liter-ature types can be divided into four categories,among which 451 are theoretical studies on academic thoughts of FQZNK,accounting for 66.5%of the included journals.The Journal of Shanxi Traditional Chinese Medicine had the largest volume of published articles(61),ac-counting for 9.0%of the total number of the included journals.The most cited literature was ZHOU Mingxin’s article“Using the quantitative method to discuss author’s authenticity and formula characteristics of FU Qingzhu’s Obstetrics and Gynecology”,which was cited 94 times.Hunan University of Chinese Medicine,the institution with the most publications,published 45 articles,and YOU Zhaoling,the most published author,published 33 articles.Moreover,it was found that most high-yield researchers came from high-yield institutions and that Hun-an University of Chinese Medicine had the most research on FQZNK.Keyword co-occur-rence analysis revealed that the keyword“FQZNK”had the highest frequency(597 times)and the highest centrality(1.00).Keyword cluster analysis used the Log-Likelihood Ratio(LLR)al-gorithm to form eleven important clusters:#0 treatment aiming at its root causes,#1 gynecopathy,#2 Siwu Decoction(四物汤),#3 FU Qingzhu,#4 post-partum,#5 infertility,#6 dysmenorrhea,#7 sterility,#8 coordinate the heart and kidney,#9 Danggui Buxue Decoction(当归补血汤),and#10 treatment.It was found that the prescriptions of FQZNK were studied mainly before 2000,the theoretical studies were mainly conducted before 2010,and its clinic-al application was mainly explored from 2010 until now.Diseases such as dysmenorrhea,morbid vaginal discharge,infertility,metrorrhagia,and polycystic ovarian syndrome(PCOS)have recently become popular topics in this field.Conclusion The current study provides more scientific,accurate,and comprehensive sci-entific support for further research and development of traditional Chinese medicine(TCM)in FQZNK.With this foundation,people can use burst detection to ascertain the current hot-spots in research,get their development trends,and forecast future research directions.In ad-dition,infertility,morbid vaginal discharge,flooding,and PCOS treatments based on TCM syndrome differentiation are currently popular research topics for FQZNK.

Construction and application of knowledge graph of Treatise on Febrile Diseases

Objective To establish the knowledge graph of“disease-syndrome-symptom-method-formula”in Treatise on Febrile Diseases(Shang Han Lun,《伤寒论》)for reducing the fuzziness and uncertainty of data,and for laying a foundation for later knowledge reasoning and its application.Methods Under the guidance of experts in the classical formula of traditional Chinese medicine(TCM),the method of“top-down as the main,bottom-up as the auxiliary”was adopted to carry out knowledge extraction,knowledge fusion,and knowledge storage from the five aspects of the disease,syndrome,symptom,method,and formula for the original text of Treatise on Febrile Diseases,and so the knowledge graph of Treatise on Febrile Diseases was constructed.On this basis,the knowledge structure query and the knowledge relevance query were realized in a visual manner.Results The knowledge graph of“disease-syndrome-symptom-method-formula”in the Treatise on Febrile Diseases was constructed,containing 6469 entities and 10911 relational triples,on which the query of entities and their relationships can be carried out and the query result can be visualized.Conclusion The knowledge graph of Treatise on Febrile Diseases systematically realizes its digitization of the knowledge system,and improves the completeness and accuracy of the knowledge representation,and the connection between“disease-syndrome-symptom-treatment-formula”,which is conducive to the sharing and reuse of knowledge can be obtained in a clear and efficient way.

Analysis on the characteristics of domestic and foreign blue economy research based on CiteSpace

Blue economy is one of the hot research topics both at home and abroad,which is of great significance to the construction of a strong maritime country and the high-quality development of national economy.This paper summarizes the research highlights and characteristics of blue economy at home and abroad,based on the visual analysis of analyzing 414 literature from Web of Science Core Collection Database(SSCI)and CNKI General Database,using CiteSpace 6.1.R3.The results show that:(1)The number of articles in the field of blue economy at home and abroad is on rise during 2010-2021,and the volume of foreign articles about blue economy is significantly higher than that of domestic ones.The domestic and foreign articles about blue economy were more of a theoretical mechanism research.(2)Domestic blue economy cooperation network is budding,blue economy research in coastal provinces and cities of China has policy support and scientific research advantages,and Ocean University of China is the core institution in the research field of blue economy in China.With close international blue economy network cooperation,the university is the main scientific research unit of blue economic cooperation at home and abroad.United States,the United Kingdom and Australia attach great importance to blue economy and have a good scientific research foundation,holding an absolutely dominant position in the field of blue economy research.(3)Blue industry and blue practice are the hot research topics of China's blue economy,and the evolution of research topics can be divided into three phases.Among other topics,regional analysis,sustainable blue economy,ocean governance,are the priority research areas of international blue economy research.

Visualization Analysis of Researches on Digital Storytelling Based on Mapping Knowledge Domain

The development of the information age and globalization has challenged the training of technical talents in the 21st century, and the information media and technical skills are becoming increasingly important. As a creative sharing form of multimedia, the digital storytelling is being concerned by more and more educators because of its discipline applicability and media technology enhancing ability. In this study, the information visualization software, i.e. CiteSpace was applied to visualize and analyze the researches on digital storytelling from the aspects of key articles and citation hotspots, and make a review on the research status of the digital storytelling in the education fields, such as promoting language learning, and helping students develop the 21 st century skills.

Knowledge Graph Based Method for Tracing Quality of Aerospace Products

Nowadays,the internal structure of spacecraft has been increasingly complex.As its“lifeline”,cables require extensive manpower and resources for manual testing,and it is challenging to quickly and accurately locate quality problems and find solutions.To address this problem,a knowledge graph based method is employed to extract multi-source heterogeneous cable knowledge entities.The method utilizes the bidirectional encoder representations from transformers(BERT)network to embed word vectors into the input text,then extracts the contextual features of the input sequence through the bidirectional long short-term memory(BiLSTM)network,and finally inputs them into the conditional random field(CRF)network to predict entity categories.Simultaneously,by using the entities extracted by this model as the data layer,a knowledge graph based method has been constructed.Compared to other traditional extraction methods,the entity extraction method used in this study demonstrates significant improvements in metrics such as precision,recall and an F1 score.Ultimately,employing cable test data from a particular aerospace precision machining company,the study has constructed the knowledge graph based method in the field to achieve visualized queries and the traceability and localization of quality problems.