[Purpose/Significance]The new social situation, information context and technological environment have become the transforming forces to promote the development of information science.It is the realistic needs and the mission of the times to explore the frontiers of information science and guide the development of this academic discipline.[Method/Process]Through an improved sample journal selection method, the research selected 10 international excellent core journals of comprehensive information science, obtained 2196 research literatures published in the sample journals from 2016 to 2018, and chose 201 highly cited literatures using the standardized annual citation frequency as the index.The frontiers of information science research were explored by methods based on bibliometrics and qualitative analysis.[Result/Conclusion]The frontiers were summarized in three fields of research topics, research contexts and research methods and discussed for certain directional references of China's information science research in the new era.

[Purpose/Significance]Research on the construction of intelligence capability oriented to urban emergency management is not only the basic requirement of urban emergency management reform in the era of big data, but also an important way to realize urban smart emergency response.This study promoted the theoretical innovation and practical application of emergency management intelligence support.[Method/Process]Based on the logical relationship between intelligence capability and urban emergency management, the paper explained the connotation of urban emergency management intelligence capability.On this basis, the paper discussed the main contents of urban emergency management intelligence capability from a multi-dimensional perspective, and then analyzed the development opportunities in the new era.[Result/Conclusion]The construction of intelligence capability was the key support of urban emergency management.It involved multifaceted contents, such as intelligence resources, intelligence personnel, intelligence management, intelligence technology, intelligence application and so on.At present, to support the comprehensive improvement of urban emergency management intelligence capability, we should seize the development opportunities from two aspects:one is the smart city construction context;another is the innovation of intelligence governance.

[Purpose/Significance]Technological path can be used to discover innovative changes of continuity and discontinuities in specific technological fields.[Method/Process]In this paper, a technological main path searching algorithm based on the influence flow of links in citation network is proposed.Firstly, the influence flow of the citation network path is measured and assigned by the influence transfer between two nodes algorithm in the citation network, and then using the global search method to extract the technology main path with the largest total influence flow is obtained.[Result/Conclusion]Compared with the traditional main path analysis method, this method is clearer and more reasonable for the description of the value of the influence flow in the citation link.We adopt the data in the field of desalination and the results show that compared with the traditional main path analysis method, this method can find the earlier origin node in the main path, and the evolution process of the technical main path is clearer.

[Purpose/Meaning]The automatic measurement of academic innovation in the big data environment needs to be based on relevant academic evaluation indicators and subject knowledge systems.The ontology construction based on domain knowledge will provide basic support for the automatic measurement of academic innovation.[Method/Process]The ontology of academic innovation was constructed by hand, and the Chinese Ontology Thesaurus was used to semi-automatically construct the initial ontology of academic innovation to evaluate knowledge resources.The high-frequency keywords of CNKI journals were added to enrich the ontology knowledge.Then academic innovation power concept and academic innovation measurement knowledge resource were used to the instantiation of ontology.[Result/Conclusion]Taking the G3 bibliographic data as an example, a total of 30097 concepts, 41484 instances and 320609 relationships were established to accomplish the mission objectives.

The study of knowledge systematically and comprehensively collated and expounded the relevant contents of knowledge.On the basis of theory, this paper combed the focus of discussion, possible perspectives and research trends, systematically and comprehensively introduced the theoretical system of knowledge science, collated the existing research results, and provided a basic framework for the research and development of various topics of knowledge science;on the discussion of innovative issues, this book further explored innovative issues such as knowledge environment, technology, organization and so on.This book regarded knowledge environment as an area of knowledge research, brought knowledge technology and knowledge engineering into the system of knowledge science, further strengthen the theoretical nature of knowledge technology and knowledge engineering, knowledge organization theory as an important content of knowledge research, enrich the research scope of knowledge science.In terms of practice and application, this book mainly introduced the practical application content of knowledge based on the previous theoretical system, focusing on the discussion of practice.According to the train of thought from theory to practice, starting from the basic theoretical issues, this book clarified the focus of discussion and possible perspectives, and provided a basic framework for the development of various topics of knowledge.

[Purpose/Significance]For the purpose of users' knowledge acquisition at multiple levels and multi granularity, the object of library's literature resources organization has gradually shifted from a literature unit to a knowledge unit.[Method/Process]On the basis of researching unit information concept and representation model, this paper put forward a framework of unit information organization based on Ontology and Linked Data, and discusses in depth the core steps of realizing the semantic organization of unit information.Taking "Yang sheng" as an example, this paper presented the application process of the semantic model of unit information knowledge Organization.[Result/Conclusion]Unit information knowledge organization constructed in this paper was an effective way to implement fine-grained organization, semantic revelation and multi-dimensional correlation of unit information.This research can provide reference for the semantic application of unit information in other specific fields.

[Purpose/Significance]Lookup is suitable for Q&A search queries, and exploratory search pays more attention to human-computer interaction, dynamics and versatility in the search process.They have different behavioral characteristics.As one of the basic issues in search behavior research, there is still a lack of relevant research.The purpose of this paper was to explore the difference between lookup and exploratory search, which is of great practical significance to the function optimization of information search system and guide users to search efficiently.[Method/Process]Taking health information search as the research object, by using the method of search behavior experiment and video data analyzing, this paper compared the two search behaviors from four dimensions:search strategy, learning behavior, depth search and search performance.[Result/Conclusion]It showed that there were significant differences between lookup and exploratory search in numbers of keyword transformation, numbers of visited webpages, etc.There was no significant difference in the search tool selection, length of query strings, jump options and related link search.

[Purpose/Significance]Aiming at the problems of feature sparseness, semantic ambiguity and mark data insufficiency caused by using single statistical natural language processing technology for intention classification of short text data generated on social networks, a psycholinguistic information based Co-training intention classification method was proposed.[Method/Process]Firstly, in order to enrich the semantic information, the feature dimension was extended by extracting the features of the text while synthesizing the psycholinguistic clues with emotional tendencies.Secondly, aiming at the insufficiency of mark data, two machine learning classification methods(based on the event content expression classifier and the emotional event expression classifier)were used cooperatively for training the model. Finally, the classification was performed by using a voting system of confidence products.[Conclusion/Results]The experimental results show that, by adding psycholinguistic information into the corpus, the cooperative training could provide better classification results.

[Purpose/Meaning]The security problem in individual cloud storage services has become a major obstacle to its promotion.It analyzed the perception of specific risk factors in the process of using users' cloud storage services, which was to improve the quality of cloud storage services and improve user satisfaction.basis.[Methods/Processes]Exploring the specific perceived risks of users using cloud storage services from the six dimensions of service guarantee, function, connection, finance, psychology and privacy, focusing on introducing the conversion cost, the user-perceived risk, user perception The conversion cost and the user's willingness to use it for regression analysis.[Results/Conclusions]User perceived privacy risk, connection risk, and psychological risk had a significant negative impact on users' continuous use behavior;perceived switching cost had a significant negative impact on users' willingness to continue to use;perceived switching cost negatively adjusted user perceived privacy.The relationship between risk and willingness to continue to use.

[Purpose/Significance]Different from the collection of document resources, the organization of network audio resource collection has stronger personalized features.The analysis of user preferences can not only expand the rules of organizing digital resource collections, but also improve the network audio services.[Method/Process]The user self-organizing audio resource collections on one representative network audio resource sharing platform was selected as a sample.Through the high frequency hot words analysis of the name of each audio resource collection, the organizing logic and preference were explored.[Result/Conclusion]Compared with the emphasis on the literature resource type and subject area in the literature resource collection organization, user usually gave priority to the expression of emotions(internal attribution)when creating a collection of network audio resources, followed by descriptions of the style, subject, and language(external attribution).

[Purpose/Significance]From the perspective of the mediating effect of knowledge payment, this paper made an analysis on the influence mechanism of psychological ownership of knowledge on the intentions of tacit knowledge share in online social network, in order to inspire the online social network operators to fully mobilize knowledge holders to actively share their tacit knowledge.[Method/Process]Based on making a related analysis on 314 samples' datas, the regression model was established and the relationship among variables was stimulated by MPLUS7.0.[Result/Conclusion](1)Psychological ownership of knowledge had a positive influence on tacit knowledge sharing intention;(2)Self-efficacy fully mediated the relations between psychological ownership of knowledge and tacit knowledge sharing intention;(3)The higher knowledge payment was, the positive impact of self-efficacy on tacit knowledge sharing intention would be weakened, and the mediating effect of self-efficacy on psychological ownership of knowledge and tacit knowledge sharing intention would also be weakened.

[Purpose/Significance]In the era of big data, smart library users need precise and intelligent retrieval tools.Mobile visual search technology can meet users' search requirements centered on visual resource data.In recent years, deep learning technology has made breakthroughs in many research fields.[Method/Process]Based on the analysis of the deep learning based visual resource recognition technology at home and abroad, this paper constructed a mobile visual search service model of smart library based on deep learning, and designed the workflow of the model.Finally, the future development trend of deep learning based mobile visual search system of smart library was forecasted.[Result/Conclusion]Applying deep learning technologies into the smart library mobile visual search system, it can integrate multi-source heterogeneous visual data, fit user's personalized preferences and improve visual search system performance.

[Purpose/Significance]Integrating artificial intelligence technology into relevant fields of libraries, we can build a precise, individualized, intelligent and one-stop intelligent subject service environment, thus promoting the innovation of library subject service and providing development services and decision support for the construction of first-class disciplines in Colleges and universities.[Method/Process]Based on the background of "double first-class" policy, this paper used empirical investigation method to analyze the general situation of Library Subject Service in 42 "double first-class" universities, summarized the current development situation and existing problems of university library subject service, and put forward the construction principles and overall framework of University Library Intelligent subject service platform serving the construction of first-class subjects.In terms of platform function design, service platform was divided into four levels:accurate identification of user needs based on large data, personalized customization service based on artificial intelligence, subject discussion space based on financial media and subject resource aggregation based on fine-grained knowledge.[Result/Conclusion]Based on the analysis of the new mission entrusted by the construction of "double-first-class" to the subject service of University libraries, we should provide comprehensive and precise subject service to the user groups and build a platform to effectively promote the connotative development of the subject service of university libraries by taking the "double-first-class" strategy as an important opportunity.

[Purpose/Significance]This paper combined the reader's reading needs and the practice of University library's reading promotion under the new media environment from the perspective of media convergence, combed the current situation of University library's reading promotion work, and put forward relevant measures in order to provide university books.[Method/Process]Analysed the deficiencies of the existing university library's reading promotion work, explored the development trend of University library's reading promotion under the media convergence environment.[Result/Conclusion]The library provides a new way of thinking for reading promotion based on media convergence, that is, by changing the mode of purchasing resources, strengthening digital multimedia propaganda and promotion, and devoting itself to the organization and utilization of digital resources, expanding the channels of reading promotion and innovating the ways of reading promotion, which can provides reference for the reading promotion of domestic university libraries.

[Purpose/Significance]In the context of Internet plus, the scientific and reasonable construction of the information platform of democratic parties is of great practical significance for the democratic parties in China to play the role of participating parties in the new era.[Method/Process]Starting from the characteristics of democratic parties participating in political parties, this paper analyzed the urgency, shortcomings and needs of the information platform construction of democratic parties, designed functional modules of the information platform of democratic parties, and proposed a three-layer overall framework based on the "cloud platform".[Result/Conclusion]The information platform structure of the democratic parties was optimized, and the channels for participation in and discussion of state affairs, democratic supervision and political consultation were broadened, thus providing a scientific basis for the modernization of the governance capacity of the democratic parties.

[Purpose/Significance]The ecological anti-dumping competitive intelligence network system of export enterprises is the premise and foundation for dealing with the risk of ecological anti-dumping.[Method/Process]Firstly, this paper analyzed the reality of China's export enterprises' competitive intelligence system, and then, constructs a multi element synergy anti-dumping competitive intelligence network system, and made a concrete analysis of the structure and function of the network system with the application of the whole network analysis theory.[Result/Conclusion]The results showed that, compared with the traditional network system, the Multi element synergy network system had more smooth information channels, faster transmission speed, and more conducive to the exchange and sharing of information.

[Purpose/Significance]Intelligence service is an important part of the value-added service of the enterprise shared service center in the big data era.The research on the intelligence enginery of enterprise shared service center under the engineering thinking style can extend the theoretical research field and practice innovation vision of the modern enterprise shared service center.At the same time, it also has important significance for the development of corporate competitive intelligence theory and practice under the shared service mode.[Methods/Procedures]The paper presented a systematic study on the intelligence enginery of enterprise shared service center with the intelligence engineering-oriented paradigm which contained three parts of data resources, tools and methods, and expert wisdom.The main contents included a factor analysis of enterprise shared service center intelligence enginery and the model construction of operation mechanism of enterprise shared service center and collaborative intelligence enginery model based on the intelligence flow.[Results/Conclusion]In big data era, the intelligence enginery of enterprise shared service center relied on multi-source data fusion support, collaborative support of advanced method tools, and the participation of expert wisdom.At present, the research on intelligence service of enterprise shared service center was insufficient.It is necessary to strengthen their intelligence enginery from an engineering perspective in order to assist enterprise strategic decision-making and promote the transformation and upgrading of shared service center.

[Purpose/Significance]The dynamic factors from internal and external rule big data governance in information ecosystem, coupled with nature environment, the selection of governance path and quantitative model in underdeveloped areas is an urgent problem to be solved in big data field.[Method/Process]For the first time, based on the construction of big data simulation analysis, hierarchical structure pattern and Climbing slope quantitative model, we illustrated the interaction of exogenic and endogenic dynamic factors from information carrying capacity, and constructed the mechanism of regional big data governance.[Result/Conclusion]Support and driving capacity factors promoted sustainable development by information governance, although ubiquitous information pressure overwhelmed information literacy by exponential growth in western china.The success of big data governance did not rest upon the amount of data scale and cyberinfrastructure construction, but depended on the standard of regional driving capacity, matching regional blocking force and information pressure.Among three constraint factors composing of information governance, regional nature property and social resource exhibiting to be immobilization and hard to change as native attribute;marching socioeconomic force reside as the demanding factor of information society only to adapt and accept;Instead, route choice factor of Information governance, as unique countermeasure, possessed tunable and optional capacity, pertain mechanism instituting or policy making ability, and adjusted slope and beveled scale, in control of blocking force to information governance proceeding.As the alternative route factor and scientific enabler by big data governance, western big data center must run for regional initiative governance, collecting and constructing scientific catalogue, to the target of the integration strategy of the nature environment protection and social economic development, and expand information carrying capacity and path for big data governance.

[Purpose/Meaning]Smart community is a new form and new concept evolved in the process of community informatization.The research related smart community can provide important practical experiments and theoretical effects to China's grassroots governance.[Method/Process]Therefore, this paper uses the bibliometric method and content analysis method to analyze the international research results related to the smart community in the WOS core collection database.[Results/Conclusions]This study clarifies the research context of two types of community informatization from the perspective of concept connotation and research paradigm, and further summarizes the motivation mechanism, issue concerns and hot trends of smart community research, so as to provide suggestions for the construction of smart communities and sustainable community governance in China.

[Purpose/Significance]This paper studied on risking modeling and preventive strategies for political security of internet rumors which provided theoretical basis and practical guidance for managing the risk of internet rumors.[Method/Process]The hierarchical holographic modeling method was used to construct the political security risky scenarios of internet rumors.By identifying risky factors, risk quantification and rating was conducted to derive high risk factors and establish political security risky prevention and control model in internet rumors.[Result/Conclusion]According to the ecological theory for public opinion and risky analysis results and the aiming at high risk potential risk factors, the main strategies of political security risky prevention in internet rumors were proposed from three dimensions:subject, process and environment.

[Purpose/Significance]With the rapid development of the Internet, SNS(Social Network Sites OR Social Networking Services)have developed rapidly in the world, and people are more dependent on online social support of SNS than ever before.Online channels, especially SNS, have become a very important channel for people to give and receive social support.Therefore, it is necessary to analyze the Chinese and foreign literature in this field to help researchers understand the research status and development trends.[Method/Process]By collecting the Chinese and English journal articles of online social support through social networking sites in CNKI and Web of Science before 2018, we identified and content analyzed directly 205 articles.This paper summarized the current research status and explored the possible research approaches in the future.[Result/Conclusion]The article reported six themes and summarizes research status and research methods of online social support in the SNS environment.Based on the review, the article explored future potential research directions and avenues in the field of research objects, study sites, research methods, structure and role of social networks, and analyzed the differences in research methods between Chinese and foreign researchers.