[Purpose/Significance] Information science is an important part of the system of humanities and social sciences.It has the characteristics of interdisciplinary integration and embodies the idea of the construction of new liberal arts.Under the opportunity of the construction of new liberal arts, information science will have great potentials.[Method/Process] This study analyzed the important role of information science in the construction of new liberal arts on the basis of combing the research status of information science and new liberal arts.Many theoretical achievements of information science have wide applicability in the field of humanities and social sciences.Information science provides technical methods for the construction of new liberal arts;The paradigm change of information science research reflects the important direction of the paradigm change of new liberal arts construction.The exploration of information science in interdisciplinary field is an important reference for the construction of new liberal arts;Information science education provides versatile talents support for the construction of new liberal arts.[Result/Conclusion] Finally, some thoughts on the development of information science under the opportunity of new liberal arts construction were put forward.Information science should consolidate its foundation, develop and innovate, and play a leading and exemplary role;attach importance to the construction of information science related cross-disciplines combined with social needs;extend the application of information technology and methods in the new liberal arts;pay attention to the training of compound new liberal arts talents with information science theory.

[Purpose/Significance] In view of the phenomenon that the study of intelligence-writing is still a "blank" in the academic field, this paper discusses the essential rules of intelligence-writing, so as to improve the academic connotation of intelligence-writing research and make it an important theoretical subject of information science.[Method/Process] The paper responded to various doubts about the research on intelligence-writing, elaborated the background of the rise of intelligence-writing and its research, as well as the content framework of the research on intelligence-writing.[Results/Conclusions] The research on intelligence-writing is a theoretical subject with important academic value and rich content.It can construct a content framework with strict logical relationship.Its research content includes the following three aspects:One is the research on the principle of intelligence-writing.intelligence expression and information communication are two basic principles of intelligence-writing.The second is the research on the characteristics of intelligence products.The basic characteristics of intelligence products can be discussed from the aspects of style, context, norm and text composition.The third is a special study on intelligence-writing, focusing on some specific problems and new problems in intelligence writing.

[Purpose/Significance] The study clarifies the operation characteristics and mode of the network public opinion system affecting public emergencies, further assists the regulatory authorities to master the operation law of public opinion from the source.[Method/Process] Based on the perspective of information ecology, the study put forward the ecological factors in the operation of network public opinion system of public emergencies, summarized the attribute characteristics and structural characteristics of information factors, informant factors and information environment factors, formulated the action equations of different ecological factors in the operation of public opinion system, and a public emergency was taken as an example, the quantitative analysis of the operation mode of public opinion was completed through factor analysis.[Results/Conclusions] The study found that the essence of the operation process of the network public opinion system of public emergencies is the diffusion of the information content itself, and the informant also occupies an important position as the main body of public opinion communication.

[Purpose/Significance] The study explores explore the method of usingtail big data technology to solve the problem of traditional manufacturing knowledge management, to realize the automatic extraction and structured construction of patent, and to improve the efficiency and utilization of information retrieval.[Method/Process] Combined with deep learning technology, an automatic knowledge graph construction method for unstructured patent information was proposed.The pre-training model was added based on the BiLSTM-CRF algorithm to extract information from patent.Then, the accuracy of the model was improved for performing data enhancement based on transfer learning.The entity relationship extraction model was improved to increase the accuracy of triple structure recognition.Finally, it was stored in the Neo4j graph database to construct the domain knowledge graph.[Result/Conclusion] The accuracy of the method in the study was 94.71%.Compared with the traditional method, this method was more universal.

[Purpose/Significance] This paper constructs a network news text classification model integrating Fasttext model and attention mechanism, which provides intelligent knowledge organization ideas for network news platform operators.[Method/Process] The semantic expression of network news text was carried out by the word vector model Ngram2vec, which is based on the combination of the Word2vec model and the FastText model, and BiLSTM_Atte model fused with attention mechanism was used to realize news text classification.[Results/Conclusion] The experimental results showed that the BiLSTM model combined with attention mechanism enabled F₁'s value improved from 90.62% to 92.03%, which indicated that the technical method proposed in this paper could improve the accuracy of news text classification, and it has important reference value for hot search platform to improve knowledge organization efficiency and optimize service level.

[Purpose/Significance] Identifying the intellectual structure based on literature in a certain field is an important task of bibliographical analysis, which can reveal the research topics of this field.[Method/Process] The retrieval item 'topic' of a paper involves three elements:title, abstract and keywords, which can offer much semantic information of a paper.Besides, the LDA model has been widely adopted for topic discovery in the library and information science field.This paper proposed the method for the use of LDA model for disciplinary structure recognition based on the paper topic.Taking leading English journal papers in the field of data mining in 2014-2018 as an example, four groups of comparison were conducted to detect intellectual structure.[Result/Conclusion] Empirical analysis verified the effectiveness of using LDA model for intellectual detection based on topics.Besides, it showed that the topics obtained based on the topic item and LDA involved wider and finer domain-oriented themes.

[Purpose/Significance] Competitive intelligence service platform is an important carrier to provide service support for regional innovation subjects.The evaluation and Research on its comprehensive performance is conducive to give full play to the role of competitive intelligence as a strategic tool and enhance regional competitive advantage.[Method/Process] Based on the overall perspective of platform service scientific and technological innovation, a performance evaluation index system of competitive intelligence service platform for regional scientific and technological innovation was built, including five dimensions:resource environment, service technology, operation management, information service and cooperation support, the index weight was determined by analytic hierarchy process, design evaluation rules and calculate the comprehensive score.[Result/Conclusion] Taking the competitive intelligence service platform of Jiangxi Province as the empirical object, the study verified the applicability of the performance evaluation index system and evaluation methods, and put forward countermeasures and suggestions to strengthen the integration of competitive resources and the construction of industrial innovation environment, to improve the service technology level and operation management efficiency according to the evaluation results.

[Purpose/Significance] With the rapid evolution of industrial reform, how to identify the status quo of technology research and predict future development trend has become the focus of enterprises' technological innovation activities.[Method/Process] This research focused on solving the dilemma of "What topic to cooperate with" faced by enterprises.Based on the topic model, text clustering, and exponential smoothing prediction, a topic recommendation model of industry-university intellectual property cooperation(IUIPC)was proposed.[Result/Conclusion] The topic classification and trend prediction of the "Cloud Computing" field in China was carried out, and the practicability of the model was verified, and the model is applicable to other technical fields.According to the R&D status and future development trend of each technology topic in each technology field, enterprises can specify which technology direction to cooperate with universities.This provides a scheme reference for enterprises to reveal the development trend of the technology field, plan strategic layout and carry out IUIPC.

[Purpose/Significance] Understanding the development stage of technology is conducive to forward-looking technology management, assisting government departments to identify and predict the timing of the conversion of old and new dynamics, and providing decision-making reference for enterprises to formulate R&D and investment strategies.[Method/Process] Based on related theories and methods of technology life cycle, "technical function indicator" was innovatively introduced, then a multi-indicators evaluation system of technology life cycle was constructed which included external characteristics of patents and papers and technical function indicators at the content level and a technology life cycle index model.The validity of the technology life cycle multi-indicators measurement system and the exponential model were verified via empirical analysis of lithium ion battery cathode material lithium iron phosphate.[Result/Conclusion] Lithium ion battery cathode material lithium iron phosphate is in technical maturity stage by employment of multi-indicators measurement system of technology life cycle constructed.Comparing with S-curve, the technology life cycle multi-indicators measurement system is more realistic and accurate in the demarcation of different development stages of technology life cycle(demarcation between germination stage and growth stage, demarcation between growth stage and maturity stage).

[Purpose/Significance] From the perspective of policies, this paper investigates the policy support of Mexican government open data, in order to provide a reference for the development of policy of open data in China.[Method/Process] Using the research methods of literature review and case analysis, the study took Mexico as an example, accessed to the first materials from literature and discusses Mexican government open data policy main body, sorted out the policy contents such as open principle, open process, open standard, open license, open scope and open format, and carried out SWOT analysis on the Mexican government open data policy.[Results/Conclusion] The study put forward to cultivate social organizations, strengthen the importance of leaders, promote citizen participation and the institutionalization of open data.

[Purpose/Significance] In a short period of time after opening the open data strategy, Japan has successfully established a data utilization mode with both public welfare and commercial nature, and its experience has reference value for the development of China's open data strategy.[Method/Process] Normative analysis was conducted on the laws and policies promulgated in the whole process of Japan's open data strategy to explore its institutional basis, and empirical analysis was conducted on the actual use cases of Japan's open data to verify its operation effect.[Results/Conclusion] Japanese government's policy driven and two-way interaction mode between data openers and users are the main reasons for its achievements, which enlightens China to improve in policy-making, national platform establishment, data utilization restriction, and interaction with data users.

[Purpose/Significance] Perceive the abnormal data in the process of network public opinion communication, and carry out risk calculation accordingly, so as to provide a new idea for network public opinion risk monitoring.[Methods/Process] The study clarifed the risk monitoring mechanism of network public opinion, constructed the index set of core elements of network public opinion communication, studied the abnormal data perception method of network public opinion based on normal modeling, and put forward the risk calculation method.[Results/Conclusion] The empirical research showed that this method could provide research ideas for the automation and intelligence of network public opinion risk monitoring, and can provide methodological support for the theory of network public opinion risk governance.

[Purpose/Significance] The study aims to analyze the evolution law of public opinion, strengthen its management and intervention, and effectively resist the impact of negative network public opinion on society.[Method/Process] Combining evolutionary game theory and complex network theory, and considering symmetric game and asymmetric game, this paper constructed an evolutionary game model of public opinion and proposed more targeted countermeasures and suggestions for the management of public opinion combined with the experimental results.[Result/Conclusion] In the two kinds of game relations, the impact of key users' and ordinary netizens' income parameters on the spreading process was significantly different.For ordinary netizens, the symmetric game had a greater impact on the spreading process of public opinion, while for the key user groups, asymmetric game played a more important role.

[Purpose/Significance] In the context of'Internet+ government services', the issue of information security of government APP users has been widely concerned.Therefore, this paper analyzes the current situation of the privacy policy of China's government affairs APP to find problems and put forward suggestions for improvement, so as to improve the protection level of users' personal information.[Method/Process] 30 effective privacy policy texts of provincial comprehensive government affairs APP were selected as research objects except Hong Kong, Macao and Taiwan, and content analysis method was used to explore their external characteristics and text content.[Result/Conclusion] The study found that there were four problems in the privacy policy of government affairs apps, including irregularities in the content of the privacy policy, failure of the government to specify specific notification obligations, inadequate management about information security, and insufficient protection of users' personal rights by the government.Therefore, the study proposed corresponding countermeasures, in order to provide reference for government agencies to formulate and improve the privacy policy of government affairs APP.

[Purpose/Significance] In the data intelligence environment, the traditional academic paper evaluation system based on bibliographic data and frequency statistics has many drawbacks.This research attempts to propose an evaluation model of paper influence combined with full-text analysis to provide new ideas for more comprehensive, in-depth and accurate evaluation.[Method/Process] Full-text analysis was incorporated on the basis of traditional two-dimensional evaluation model;analytic hierarchy process and principal component analysis were used to combine frequency, location and sentiment indexes basing on contents of citation and Altmetrics and divide them into academic and social influence indicators.[Result/Conclusion] The evaluation model combined with full-text analysis can realize the comprehensive evaluation of papers, and divide them into four types:star type, masterpiece type, professional type and general type;it can enhance the in-depth and accuracy of the evaluation, which makes up for the one-sidedness of the citation frequency and other indicators;the two influence indicators in the model are independent of each other, and the evaluation dimensions are complementary, which further improves the comprehensiveness of the evaluation.

[Purpose/Significance] The identification of Sleeping Beauties from different disciplines and their wide dissemination and utilization in the scientific community can greatly come true the scientific value of such scientific achievements and promote the development and progress of scientific fields.[Methodology/process] By using k-value algorithm, three-indicator recognition method and citation delay index, the Sleeping Beauties were identified from 905418 articles published in Neuroscience from 1990 to 2010 were analyzed, as sell as influencing factors of these Sleeping Beauties as journal distribution, paper length, number of authors.[Result/Conclusion] The empirical results showed that:126 Sleeping Beauties were identified via the combination of K-value algorithm and three-index method from more than 900000 articles in the field of Neuroscience, with high recognition accuracy.2A large number of Sleeping Beauties were identified via the citation delay index, up to 65, with slightly lower recognition accuracy, but the method had higher computational efficiency.3The sleeping depth of the 26 same Sleeping Beauties identified by two types of methods from Neuroscience ranged from 0.11 to 1.63 times, and the sleeping duration was relatively short, with an average of 9.88 years.In addition, the influencing factors of the formation of Sleeping Beauties in Neuroscience were not significantly correlated with the impact factor, the number of authors and length of papers, except the total citation frequency.

[Purpose/Significance] From the perspective of the National Social Science Fund projects, this paper measures the interdisciplinary degree and its evolution, so as to improve the understanding of the interdisciplinarity in the field of Chinese humanities and social sciences.[Method/Process] Based on the keywords extracted from the tiles of the National Social Science Fund projects from 2011 to 2020, the interdisciplinary degree between 23 disciplines was calculated by means of keywords coupling analysis, interdisciplinary networks were built to indicate the interdisciplinarity and its evolution with network indicators and mapping.[Result/Conclusion] The overall interdisciplinary degree demonstrates an increasing trend, but there are obvious disciplinary differences.The interdisciplinary degree of social sciences is generally higher than that of humanities.Interdisciplinarity originates from the crossover of discipline attributes, research objects, discipline paradigms, scientific subjects, etc.The boundaries of disciplines are further blurred and expanded, but the core remains relatively independent.

[Purpose/Significance] Interdisciplinary occupies a key position in the practice and innovation of human society.Measuring the ways and means of interdisciplinary connection is of great significance for promoting the merge and common development of disciplines and exploring the unknown areas of science.[Method/Process] In this study, 3575103 articles in the field of life sciences in Scopus database from 2013 to 2018 were analyzed and classified.According to the division of the whole science field, the interdisciplinary knowledge distribution in the field of life science from the perspective of discipline co-occurrence was described.On this basis, the shortest path of interdisciplinary knowledge cross was analyzed through different indicators, for the exploration of the relationship between life sciences and other disciplines.[Results/Conclusion] The results showed the distance between life science and other disciplines as well as many knowledge transferred routes through them.The mechanism of direct and indirect reciprocity between disciplines has been revealed, which has strong study value for the progress and innovation of science.