{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T22:44:14Z","timestamp":1743115454706,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":25,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789811951930"},{"type":"electronic","value":"9789811951947"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-981-19-5194-7_20","type":"book-chapter","created":{"date-parts":[[2022,8,9]],"date-time":"2022-08-09T23:03:17Z","timestamp":1660086197000},"page":"262-272","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Visual Analysis of the National Characteristics of the COVID-19 Vaccine Based on Knowledge Graph"],"prefix":"10.1007","author":[{"given":"Yong","family":"Feng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ning","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongyan","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rongbing","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yonggang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,8,10]]},"reference":[{"key":"20_CR1","unstructured":"WHO Coronavirus (COVID-19) Dashboard. https:\/\/covid19.who.int\/. Accessed 15 Sept 2021"},{"issue":"2","key":"20_CR2","doi-asserted-by":"publisher","first-page":"e210830","DOI":"10.1001\/jamanetworkopen.2021.0830","volume":"4","author":"JK Logue","year":"2021","unstructured":"Logue, J.K., Franko, N.M., Mcculloch, D.J., et al.: Sequelae in adults at 6 months after COVID-19 infection. JAMA Netw. Open 4(2), e210830 (2021)","journal-title":"JAMA Netw. Open"},{"issue":"7","key":"20_CR3","first-page":"714","volume":"40","author":"J Xie","year":"2021","unstructured":"Xie, J., Li, W., Shen, H., Cheng, Y.: A study of credibility discriminators in the context of information explosion and information uncertainty - the COVID-19 outbreak as an example. J. China Soc. Sci. Tech. Inf. 40(7), 714\u2013724 (2021)","journal-title":"J. China Soc. Sci. Tech. Inf."},{"key":"20_CR4","first-page":"75","volume":"5","author":"J Chen","year":"2021","unstructured":"Chen, J., Xia, L., Liu, X.: The evolution of online public opinion features based on topic mapping and visualization analysis. Intell. Sci. 5, 75\u201384 (2021)","journal-title":"Intell. Sci."},{"key":"20_CR5","first-page":"838","volume":"6","author":"N Ji","year":"2021","unstructured":"Ji, N., Gao, Y., Zhao, Y., Yu, D., Chu, S.: Visualization of basketball news combined with the knowledge graph. J. Comput.-Aided Des. Graph. 6, 838\u2013846 (2021)","journal-title":"J. Comput.-Aided Des. Graph."},{"issue":"12","key":"20_CR6","first-page":"98","volume":"38","author":"H Tian","year":"2020","unstructured":"Tian, H., Jiang, C.: A visual analysis of Chinese corporate disclosure research based on knowledge graph. Inf. Sci. 38(12), 98\u2013104 (2020)","journal-title":"Inf. Sci."},{"key":"20_CR7","unstructured":"Xia, C., Zhang, Y.: New opportunities for mobile reading services in libraries: HTML5 and CSS3. Mod. Libr. Inf. Technol. (5), 17\u201325 (2012)"},{"issue":"1","key":"20_CR8","first-page":"59","volume":"34","author":"Q Li","year":"2005","unstructured":"Li, Q., Xie, Z., Zuo, X., Wang, C.: Spatial information description and visual representation based on SVG. J. Surv. Mapp. 34(1), 59\u201363 (2005)","journal-title":"J. Surv. Mapp."},{"issue":"3","key":"20_CR9","first-page":"134","volume":"34","author":"X Wang","year":"2019","unstructured":"Wang, X., Wei, S.: Research and application of 3D WebGIS platform with WebGL technology. Remote Sens. Inf. 34(3), 134\u2013138 (2019)","journal-title":"Remote Sens. Inf."},{"key":"20_CR10","unstructured":"Amit, S.: Introducing the knowledge graph. Official Blog of Google, America (2012)"},{"key":"20_CR11","unstructured":"Amit, S.: Introducing the knowledge graph: things, not strings. https:\/\/www.blog.google\/pr-oducts\/search\/introducing-knowledge-graph-things-not\/. Accessed 10 June 2020"},{"key":"20_CR12","unstructured":"Chinese Computer Society.CCF 2017-2018 China Computer Science and Technology Development Report. Machinery Industry Press, Beijing (2018)"},{"issue":"12","key":"20_CR13","first-page":"2585","volume":"55","author":"M Hou","year":"2018","unstructured":"Hou, M., Wei, R., Lu, L., et al.: A review of knowledge graph research and its application in the medical field. Comput. Res. Dev. 55(12), 2585\u20132599 (2018)","journal-title":"Comput. Res. Dev."},{"key":"20_CR14","doi-asserted-by":"publisher","first-page":"5994","DOI":"10.1038\/s41598-017-05778-z","volume":"7","author":"M Rotmensch","year":"2017","unstructured":"Rotmensch, M., Halpern, Y., Climat, A., et al.: Learning a health knowledge graph from electronic medical records. Sci. Rep. 7, 5994 (2017)","journal-title":"Sci. Rep."},{"key":"20_CR15","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1016\/j.jbi.2018.05.003","volume":"82","author":"G Bakal","year":"2018","unstructured":"Bakal, G., Talari, P., Kakani, E.V., Kavuluru, R.: Exploiting semantic patterns over biomedical knowledge graphs for predicting treatment and causative relations. J. Biomed. Inform. 82, 189\u2013199 (2018)","journal-title":"J. Biomed. Inform."},{"issue":"6","key":"20_CR16","first-page":"836","volume":"45","author":"B Jiang","year":"2020","unstructured":"Jiang, B., Yu, X., Li, K., et al.: Interactive visual analysis of the COVID-19 epidemic situation using geographic knowledge mapping. J. Wuhan Univ. 45(6), 836\u2013845 (2020)","journal-title":"J. Wuhan Univ."},{"issue":"6","key":"20_CR17","first-page":"816","volume":"45","author":"X Chen","year":"2020","unstructured":"Chen, X., Liu, J., Xu, L., et al.: Knowledge mapping of COVID-19 case activities in Zhengzhou City. J. Wuhan Univ. (Inf. Sci. Ed.) 45(6), 816\u2013825 (2020)","journal-title":"J. Wuhan Univ. (Inf. Sci. Ed.)"},{"issue":"5","key":"20_CR18","first-page":"409","volume":"66","author":"J Xiang","year":"2020","unstructured":"Xiang, J., Hu, H., Liu, Y., et al.: Construction of the COVID-19 material knowledge map. J. Wuhan Univ. (Sci. Ed.) 66(5), 409\u2013417 (2020)","journal-title":"J. Wuhan Univ. (Sci. Ed.)"},{"key":"20_CR19","unstructured":"Hou, X., Ying, J., Song, S.: Structural elements and processes of storytelling of epidemic data from an activity theory perspective. https:\/\/kns.cnki.net\/kcms\/detail\/11.1762.G3.20220329.1644.004.html\/. Accesses 29 Mar 2022"},{"key":"20_CR20","unstructured":"Wang, F., An, L., Huang, R., Wang, X., et al.: Scientific response and reflection in public health emergencies: graphic experts on the new crown epidemic. Libr. Intell. Knowl. (2), 4\u201314 (2020)"},{"key":"20_CR21","unstructured":"Wang, W., Li, N., Zheng, X.: Research on the key technology of research knowledge graph service platform for tobacco field. https:\/\/kns.cnki.net\/kcms\/detail\/11.2985.TS.20210527.1101.002.html\/. Accessed 27 May 2021"},{"issue":"1","key":"20_CR22","doi-asserted-by":"publisher","first-page":"35","DOI":"10.2307\/3033543","volume":"40","author":"LC Freeman","year":"1977","unstructured":"Freeman, L.C.: Set of measures of centrality based on betweenness. Sociometry 40(1), 35\u201341 (1977)","journal-title":"Sociometry"},{"key":"20_CR23","unstructured":"Wang, W., et al.:Social Network Analysis: Methods and Practice. Machinery Industry Press, Beijing (2013)"},{"key":"20_CR24","unstructured":"Boao Forum for Asia releases Global COVID-19 vaccine Adoption Landscape Report. People\u2019s Daily (6) (2021)"},{"key":"20_CR25","unstructured":"Wang, F., Dong, J.: An interpretation of the research model of international cooperation on COVID-19 prevention and control from the perspective of network structure analysis. Intell. Explor. (3), 56\u201363 (2022)"}],"container-title":["Communications in Computer and Information Science","Data Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-19-5194-7_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T15:17:08Z","timestamp":1710256628000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-19-5194-7_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9789811951930","9789811951947"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-981-19-5194-7_20","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"10 August 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPCSEE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference of Pioneering Computer Scientists, Engineers and Educators","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chengdu","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 August 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 August 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpcsee2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"261","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"65","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"26","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"25% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}