107 Service Mechanism Construction and Scenario Application of Emergency Management Intelligence Engineering in Complex Context Hot! Li Yang, Sun Jianjun DOI: 10.3772/j.issn.1000-0135.2022.02.001 Under the influence of informatization construction, digital construction, and the data-driven thinking of the big-data era, the structural focus of traditional emergency management is shifting from the physical space to the information and data space. Emergency management emphasizes the enabling role of intelligence information more than before. Thus, building a special “intelligence highway” is necessary to address the more complex emergency-management context. Therefore, this study proposes the idea of constructing the service mechanism of emergency-management intelligence engineering. Emergency-intelligence work will progress towards integration, automation, cooperation, standardization, and long-term implementation based on the collaborative working environment of the emergency intelligence integration seminar hall and using the mechanisms of intelligence integration, intelligence analysis, intelligence study and judgment, intelligence transformation, and intelligence updating. These mechanisms will promote the realization of smart emergency management. Additionally, this study introduces the scenario application of an emergency management intelligence engineering service mechanism, such as smart emergency business innovation and emergency scientific research. The study also addresses the key research project, emergency-network public opinion, and emergency knowledge popularization. This study can enrich the theoretical system of emergency intelligence and promote the deepening of intelligence-engineering concepts in the field of emergency management, which can support the transformation of the emergency-management paradigm. 2022 Vol. 41 (2): 107-117 [Abstract] ( 426 ) HTML (94 KB)  PDF (1377 KB)  ( 598 )

118 Recognition of High-Value Hot Topics Based on Value Segmentation of Keywords Hot! Sun Jiajia, Li Yajing DOI: 10.3772/j.issn.1000-0135.2022.02.002 Research on the value segmentation of authors' keywords can help identify high-value hot topics, and help researchers accurately grasp high-value topics and research frontiers. By adopting the RFM (recency, frequency, monetary) model for analyzing customer value, this study conducts several experiments by dynamically weighting the indexes of the model, in combination with the survival analysis in the medical field to obtain the best segmentation. According to the Pareto principle and clustering algorithm, the high-value hot topics are identified. The experimental data contain all the records from 1998 to 2019 in the field of Library and Information Science, which are included in the CSSCI database. Compared with the existing recognition methods, the proposed recognition method considers the value attributes and classification of keywords, and better recognizes the high-value hot topics. 2022 Vol. 41 (2): 118-129 [Abstract] ( 302 ) HTML (151 KB)  PDF (2269 KB)  ( 473 )

130 Multi-Dimensional Knowledge Reorganization and Visualization of History Books: Based on Records of the Grand Historian Hot! Zhang Qi, Wang Dongbo, Huang Shuiqing, Deng Sanhong DOI: 10.3772/j.issn.1000-0135.2022.02.003 Because the grammar and linear presentation in ancient Chinese are two major obstacles for non-specialists to obtain information from ancient Chinese history books, the reorganization and re-presentation of the knowledge in history books is required. This implies supporting the knowledge acquisition from multiple dimensions (such as time, people, and places), and presenting the returned structured knowledge with the corresponding original text from history books in the form of a graph. This is expected to solve the aforementioned limitations and bring readers closer to the original text in history books. However, although some researches extract knowledge based on the original text, there is little automation, and the visualization of knowledge is mostly separated from the history books. In this study, we propose a system that includes three aspects, namely multidimensional modeling of the knowledge in history books, multidimensional-knowledge-based construction, and visualization platform realization. Finally, we apply the proposed system to Records of the Grand Historian (Shiji) by reorganizing the automated books and constructing a visual platform on different dimensions such as characters, time, places, social groups, and official positions. 2022 Vol. 41 (2): 130-141 [Abstract] ( 354 ) HTML (90 KB)  PDF (4902 KB)  ( 633 )

142 Exploring the Clinical Impact Predictors of Papers— Based on the Empirical Analysis of Publications from Nobel Prize Winners in Physiology or Medicine Hot! Chen Sisi, Liu Chunli DOI: 10.3772/j.issn.1000-0135.2022.02.004 Under the context of major public health emergencies, the clinical application value of scientific papers is being given importance. However, the evaluation this type of influence and the indicators of effectiveness still need to be explored. The Citation Laureate is a method used in predicting the winner of the Nobel Prize in Physiology and Medicine based on the frequency of citations. The reason why the Nobel Prize was finally won without its prediction may be because the traditional citation indicators cannot detect the potential clinical impact of the study. This study introduces the Approximate Potential to Translate scores (APT) proposed by NIH in the United States, uses Nobel Prize winners in Physiology or Medicine as the sample, and compares between research collections by predicted authors and unpredicted authors. Seven indicators: Total Citations, Weighted RCR, Cited By Clin, Avg. APT, Avg. Human, Avg. Animal, and Avg. Mol/Cell are determined and their differences are evaluated using the translation triangle model, and correlations between those indicators are identified. Total Citations, Weighted RCR, and Avg. Mol/Cell significantly differ between predicted and unpredicted papers. The mean and median values of Avg. Human and Avg. Animal of the unpredicted group are higher than those of the predicted group. From the perspective of the triangle model, the molecular/cell characteristics of the predicted group are highlighted, whereas Avg. Human and Avg. Animal indicators of the unpredicted group are more obvious. The results of correlation analysis show that Avg. Mol/Cell is significantly positively correlated with Total Citations, while Avg. Animal is significantly negatively correlated with Total Citations, and Avg. Human is not significantly correlated with Total Citations. The number of citations used in the Citation Laureate Award cannot evaluate or predict the impact of clinical translation, and is more sensitive to the measurement of the impact of basic research on molecular and cell biology; however, it lacks sensitivity to the impact of animal experiments and clinical research. The APT score can accurately measure the future clinical translational potential of a paper, therefore its inclusion in the evaluation indicator system of scientific and technological papers should be considered to account for the deficiency of the indicators based solely on citation analysis. 2022 Vol. 41 (2): 142-154 [Abstract] ( 180 ) HTML (165 KB)  PDF (2852 KB)  ( 559 )

155 Analysis of the Relevance Evaluation of Scientific-Technological Projects and Achievements Hot! Liang Jiwen, Yang Jianlin, Wang Wei, Wang Fei DOI: 10.3772/j.issn.1000-0135.2022.02.005 The post evaluation of scientific-technological (S&T) projects is the core link in the entire process of S&T management, which judges the completion quality and benefits of the project. Existing research more deeply considers building an evaluation system and quantitative evaluation indicators, while the research on determining the relevance of projects and results at the content level is scarce. This paper uses S&T reports as supplementary information for S&T projects, building a similarity calculation model based on the Bidirectional Encoder Representations from Transformers (BERT) architecture, and it explores S&T projects’ correlation evaluation and achievement. The results show that the fusion model can effectively evaluate the relevance of S&T projects and achievement. This study also analyzes the low relevance of the projects and achievements and the existing problems in the S&T reports. We aimed to comprehensively improve the efficiency of S&T information services. 2022 Vol. 41 (2): 155-166 [Abstract] ( 276 ) HTML (118 KB)  PDF (4298 KB)  ( 482 )

167 Automatic Recommendation of Judgment Documents Based on Structural Content Features Hot! Liang Zhu, Shen Si, Ye Wenhao, Wang Dongbo DOI: 10.3772/j.issn.1000-0135.2022.02.006 In the existing judgment document retrieval system, non-legal professionals encounter difficulties while trying to retrieve documents. At present, intelligent searches in the legal field can rely on the recommendations and classifications of legal provisions based on judgment documents without researching the automatic recommendations of judgment documents. Therefore, this study proposes a method to intelligently recommend judgment documents using news texts based on similar news methods. This article combines current research work to summarize the structure-specific and content characteristics of judgment documents, use the text of news articles, simulate the search query of non-legal professional users, and construct a corpus of judgment documents with structural content features to recommend automatically related judgment documents. The results show that after extracting the corresponding feature words using the content structure of the court opinion of judgment documents, the retrieval model performs well when the LambdaMART model conducts text matching, which is superior to the traditional full-text retrieval technology. 2022 Vol. 41 (2): 167-175 [Abstract] ( 286 ) HTML (115 KB)  PDF (943 KB)  ( 505 )

176 Seeing, Thinking, and Knowing: Research on the Relationship between Users' Attention, Subjective Feelings, and Quality Evaluation of Online Health Information Hot! Qin Qin, Ke Qing, Xie Yushan, Wang Chuanlei DOI: 10.3772/j.issn.1000-0135.2022.02.007 Health websites are an important source for those seeking to obtain health information, and the quality of online health information depends on the interests of patients, doctors, website operators, and other stakeholders. Users’ evaluation of the quality of online health information depends on their perception of the elements of the pages carrying it. Based on the principles of quality evaluation of online health information, in this study, the page elements were divided, and data on the allocation of attention to each page element were collected and analyzed. A questionnaire was used to collect quality evaluation data, and the relationship between quality evaluation and the attention allocated to the page elements was explored. To explain this relationship, data regarding users’ subjective feelings were obtained through gaze-cued retrospective think-aloud and semi-structured interviews. The results of this study indicate that, compared with the findings regarding other page elements, the users had a relatively high fixation count and spent a relatively long periods examining doctors’ qualifications and advertisements. Evaluations of authority, privacy, financial disclosure, and advertising policies were positively correlated with the fixation count and duration on the corresponding page elements, while evaluations of complementarity and attribution were negatively correlated with the fixation count and duration on the corresponding page elements, and evaluations of justifiability and transparency were not correlated with a user’s fixation count and duration on the corresponding page elements. The internal reasons for the relationships are revealed in the study from the perspective of users’ subjective feelings. This study enriches the theoretical basis of, and research methods used for, evaluating the quality of online health information and provides suggestions for improving the quality of health-related informative content and interface design of health websites. 2022 Vol. 41 (2): 176-187 [Abstract] ( 359 ) HTML (148 KB)  PDF (1209 KB)  ( 603 )

188 Widening the Profession and the Integration of Disciplines: The Case of MLIS Hot! Wang Zhijin DOI: 10.3772/j.issn.1000-0135.2022.02.008 The distinction and connection between widening the profession and the integration of disciplines are explicated. The path taken by library, information, and archives science toward the integration of disciplines is discussed. This article first analyzes the state of the Master of Library and Information Studies (MLIS) programs in China. Then, it discusses the characteristics of widening the profession, and the problems facing library, information, and archives science in its way toward the integration of disciplines. The integration of disciplines facing library, information, and archive management is not internal, but external with other disciplines. During the integration of disciplines, novel disciplines and sub-disciplines should be considered. 2022 Vol. 41 (2): 188-201 [Abstract] ( 210 ) HTML (124 KB)  PDF (906 KB)  ( 335 )

202 Review of Research on the Regularities of Scientific Discovery Based on International Authoritative Scientific Awards Hot! Ren Xiaoya, Zhang Zhiqiang DOI: 10.3772/j.issn.1000-0135.2022.02.009 Scientific awards are the consensus-based academic evaluation of specific scientific discoveries made by the relevant scientific community, which can reflect the trends in scientific breakthroughs and development. To clarify the characteristics, contents and regularities, as well as questions and trends of scientific awards-related research, we comprehensively use qualitative and quantitative analysis methods. First, starting from the relevant concepts and theoretical foundations of scientific awards, we focus on scientific award recipients (scientific discovery producers) and award-winning contributions (scientific discovery) in these two research subjects. Second, we classify the main research contents, characteristics, and differences of relevant research in China and abroad in detail. Finally, we try to summarize the shortcomings of existing research, and potential perspectives and trends of future research on the regularities of scientific discovery based on international authoritative scientific awards. 2022 Vol. 41 (2): 202-216 [Abstract] ( 312 ) HTML (195 KB)  PDF (3927 KB)  ( 1060 )