[Purpose /significance]In the event of an emergent epidemic, the community is an important channel for vulnerable  groups to obtain emergency information, and understanding the information needs of vulnerable groups will help the community accurately provide information services, promote the emergency information reserves of the residents in the jurisdiction, and enhance their satisfaction. [Method/process]Taking the emergent epidemic as the background,the study combines the important information categories of the epidemic and related literature to investigate the emergency information needs of the disadvantaged groups in the community and classifies each need with the help of KANO questionnaire, in order to determine the priority of the community to optimize the emergency information service. [Result /conclusion]The priorities of emergency information services should be adjusted according to the basic demand,expectation demand,charm demand and irrelevant demand of vulnerable groups. By paying attention to the transformation of emergency needs and broadening the channels of information dissemination, which could guarantee the emergency information needs of vulnerable groups are satisfied.

[Purpose/significance]This study aims to provide valuable references for future research and governance practices by reviewing the research on the governance of Internet information's content ecosystem in China.[Method/process]This paper collects literature data from the core journal library of CNKI, reveals the macro situation of this topic research by using the bibliometric method, selects the literature that meets the quality standards by using the systematic review method, summarizes relevant studies from four dimensions: governance bodies, governance objects, governance tools and governance mechanisms.[Result/conclusion]The co-governance of multi-subjects  has become the basic consensus of the academic circle. Solving the problem of subjects failure and promoting the coordination of subjects is one of the focuses of attention in recent years. Current research has broken through the information content itself, and all kinds of subjects, technologies and background environment related to the production, dissemination and use of information content have become research objects. Governance tools can be classified into three categories: regulation tools, promotion tools and educational guidance tools. It has become a consensus of the government and most scholars to strengthen the effectiveness of governance tools with the help of digital intelligence technology. Governance mechanism can also be summarized and divided into three stages: before, during and after. In the future, more studies should be carried out from the overall perspective of the governance of internet information's content ecosystem, it is necessary to strengthen the research on the governance of internet positive information's content ecosystem and the algorithm security about internet information's content ecosystem.

[Purpose/significance]In the information age with decentralized discourse power, the channels for the public to publicly express their opinions and participate in topic discussions are increasing. The exchange and dissemination of online public opinion on low-ignition events will undoubtedly increase the heat of the event and bring greater pressure and challenges to corporate crisis public relations. [Method/process]Taking "Haitian soy sauce event" as an example, this paper discusses the stage of network public opinion dissemination of the event, uses ROST CM to carry out high-frequency word statistics and public sentiment tendency analysis, and uses Ucinet and Gephi to analyze the social network of the event from four dimensions including network density, network centrality, cohesion in group and point center. [Result/conclusion]This study found that the event public opinion has the characteristics of high public attention, large amount of discussion, large proportion of negative public opinion, and large influence of some opinion leaders. Based on the above characteristics, the countermeasures and suggestions of enterprise crisis public relations are put forward, in order to provide reference for enterprises to deal with the spread of crisis public opinion and eliminate negative effects.

[Purpose/significance]Taking patent infringement as the starting point, this paper explores the influence mechanism of different factors on the tendency of patent infringement declaration, then compares and analyzes the differences in the influencing factors of invalid declaration under different infringement themes in the same field.[Method/process]Firstly, this paper uses the LDA topic model to subdivide the infringement topics in the selected emerging industry field, and understands the different infringement topics and infringement keywords of the infringement patents in this field;Secondly, the statistical correlation model is used to calculate various data indicators under different infringement classification topics and comparatively analyze the correlation between invalid declaration tendencies. Finally,by constructing a multi-feature fusion random forest model, the patents under different infringement classification topics are identified and trained for invalid declaration classification, and the LIME model in machine learning can be explained. Explain the degree of influence of the measurement index features in the model.[Result/conclusion]According to the correlation analysis after topic classification, it is found that under different topic classifications, the selected feature indicators not only have different overall influence on the determination of invalidity after infringement, but also have different influencing factors and influence degree rankings in different classification results. There existed significant differences in the classification rules and classification indicators relied on by different classification topics.

[Purpose/significance]By analyzing the system and rules of traditional knowledge organization methods, the intelligent capabilities of traditional knowledge organization methods are refined and integrated into artificial intelligence（AI） technology, to enhance the precision and efficiency of AI in information processing. [Method/process]This paper reviews the development of knowledge organization and analyses the inherit structure and mechanisms of traditional knowledge organization methods. [Result/conclusion]Research suggests that over centuries of development and evolution, knowledge organization has gained the ability to reflect knowledge systems and disciplinary systems across different disciplines from diverse perspectives, establish semantic relations from diverse knowledge associations, and associate and integrate knowledge of different forms, types, and structures using scientific knowledge organization methods. These capabilities provide more effective ways for artificial intelligence to grasp knowledge systems, explore knowledge relations, reason about association probabilities in scientific problems, expand or refine knowledge and terms, as well as analyze relationships between things. The development of artificial intelligence in the field of information processing should be closely coordinated with knowledge organizations, to fully unleash its potential intelligent capabilities.

[Purpose/significance]With the development of the times, the concept of uncertain environment has also been paid more and more attention, and the multi-source heterogeneous uncertain environment has become a difficult problem hindering the integration and sharing of intangible cultural heritage digital resources.[Method/process]The integration of intangible cultural heritage digital resources knowledge elements based on evidence theory is proposed, and the integration framework of intangible cultural heritage digital resources knowledge elements is constructed, and empirical analysis is carried out based on the intangible cultural heritage digital resources in the Wanli tea ceremony.[Result/conclusion]The results show that the integration of knowledge attributes based on evidence theory can effectively utilize the value of intangible cultural heritage digital resources, and promote the digital preservation, development and utilization of intangible cultural heritage digital resources.