{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T21:06:13Z","timestamp":1768251973403,"version":"3.49.0"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030784270","type":"print"},{"value":"9783030784287","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[[2021]]},"DOI":"10.1007\/978-3-030-78428-7_18","type":"book-chapter","created":{"date-parts":[[2021,6,13]],"date-time":"2021-06-13T23:03:11Z","timestamp":1623625391000},"page":"227-240","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["COVIDonto: An Ontology Model for Acquisition and Sharing of COVID-19 Data"],"prefix":"10.1007","author":[{"given":"Jean Vincent","family":"Fonou-Dombeu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thimershen","family":"Achary","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emma","family":"Genders","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shiv","family":"Mahabeer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shivani Mahashakti","family":"Pillay","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,6,14]]},"reference":[{"key":"18_CR1","doi-asserted-by":"crossref","unstructured":"Sha, D., et al.: A spatiotemporal data collection of viral cases for COVID-19 rapid response. Big Earth Data 5, 1\u201321, (2020)","DOI":"10.1080\/20964471.2020.1844934"},{"key":"18_CR2","first-page":"1","volume":"5","author":"D Horgan","year":"2020","unstructured":"Horgan, D., et al.: Digitalisation and COVID-19: the perfect storm. Biomed. Hub 5, 1\u201323 (2020)","journal-title":"Biomed. Hub"},{"key":"18_CR3","unstructured":"Makulec, A.: How Is COVID-19 Case Data Collected? The journey from a test swab to a record in a database. https:\/\/medium.com\/nightingale\/how-is-covid-19-case-data-collected-9afd50630c08 Accessed 03 Feb 2021"},{"key":"18_CR4","unstructured":"Apps and Covid-19. https:\/\/privacyinternational.org\/examples\/apps-and-covid-19 Accessed 03 Feb 2021"},{"key":"18_CR5","unstructured":"Bazzoli, F.: COVID-19 emergency shows limitations of nationwide data sharing infrastructure, https:\/\/www.healthcareitnews.com\/news\/covid-19-emergency-shows-limitations-nationwide-data-sharing-infrastructure Accessed 03 Feb 2021"},{"key":"18_CR6","doi-asserted-by":"publisher","first-page":"123","DOI":"10.3991\/ijoe.v16i09.15325","volume":"16","author":"J Kachaoui","year":"2020","unstructured":"Kachaoui, J., Larioui, J., Belangour, A.: Towards an ontology proposal model in data lake for real-time COVID-19 cases prevention. Int. J. Online Biomed. Eng. (iJOE) 16, 123\u2013136 (2020)","journal-title":"Int. J. Online Biomed. Eng. (iJOE)"},{"key":"18_CR7","doi-asserted-by":"crossref","unstructured":"Rawal, R., Goel, K., Gupta, C.: COVID-19: disease pattern study based on semantic-web approach using description logic. In: 2020 IEEE International Conference for Innovation in Technology (INOCON), pp. 1\u20135 (2020)","DOI":"10.1109\/INOCON50539.2020.9298278"},{"key":"18_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3389\/fmed.2020.00367","volume":"7","author":"G Tini","year":"2020","unstructured":"Tini, G., et al.: Semantic and geographical analysis of COVID-19 trials reveals a fragmented clinical research landscape likely to impair informativeness. Front. Med. 7, 1\u20137 (2020)","journal-title":"Front. Med."},{"key":"18_CR9","doi-asserted-by":"crossref","unstructured":"Dutta, B., DeBellis, M.: CODO: an ontology for collection and analysis of COVID-19 data. In: 12th International Conference on Knowledge Engineering and Ontology Development (KEOD), pp. 1\u201311 (2020)","DOI":"10.5220\/0010112500760085"},{"key":"18_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2020\/3407907","volume":"2020","author":"A Sargsyan","year":"2020","unstructured":"Sargsyan, A., Kodamullil, A.T., Baks, S., Darms, J., Madan, S., et al.: Databases and ontologies, The COVID-19 Ontology. Bioinformatics 2020, 1\u20133 (2020)","journal-title":"Bioinformatics"},{"key":"18_CR11","first-page":"117","volume":"11","author":"V Sherimon","year":"2020","unstructured":"Sherimon, V., Sherimon, P.C., Mathew, R., Kumar, S.M., Nair, R.V., et al.: Covid-19 ontology engineering-knowledge modeling of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Int. J. Adv. Comput. Sci. Appl. 11, 117\u2013123 (2020)","journal-title":"Int. J. Adv. Comput. Sci. Appl."},{"key":"18_CR12","unstructured":"Beverley, J., Babcock, S., Cowell, L., Smith, B.: T he COVID 19 Infectious Disease Ontology. http:\/\/www.semantic-web-journal.net\/system\/files\/swj2627.pdf Accessed 05 Feb 2021"},{"key":"18_CR13","doi-asserted-by":"crossref","unstructured":"Su\u00e0rez-Figueroa, M.C., Carmen, M., G\u2018omez-P\u00e9rez, A., Fernandez-Lopez, M.: The NeOn methodology framework: a scenario-based methodology for ontology development. Appl. Ontology 10, 107\u2013145 (2015)","DOI":"10.3233\/AO-150145"},{"key":"18_CR14","unstructured":"Krotzsch, M., Simancik, F., Horrocks, I.: A Description Logic Primer. https:\/\/arxiv.org\/pdf\/1201.4089.pdf Accessed 03 Feb 2021"},{"key":"18_CR15","doi-asserted-by":"publisher","first-page":"940","DOI":"10.1093\/nar\/gkr972","volume":"40","author":"LM Schrim","year":"2012","unstructured":"Schrim, L.M., et al.: Disease Ontology: a backbone for disease semantic integration. Nucleic Acids Res. 40, 940\u2013946 (2012)","journal-title":"Nucleic Acids Res."},{"key":"18_CR16","doi-asserted-by":"crossref","unstructured":"Cowell, L.G., Smith, B.: Infectious disease ontology. In: Vitali Sintchenko, Infectious Disease Informatics, pp. 373\u2013395 (2010)","DOI":"10.1007\/978-1-4419-1327-2_19"},{"key":"18_CR17","doi-asserted-by":"publisher","first-page":"1251","DOI":"10.1038\/nbt1346","volume":"25","author":"B Smith","year":"2007","unstructured":"Smith, B., Ashburner, M., Rosse, C., Bard, J., Bug, W., Ceusters, W., et al.: The OBO foundry: coordinated evolution of ontologies to support biomedical data integration. Nature Biotechnol. 25, 1251\u20131255 (2007)","journal-title":"Nature Biotechnol."},{"key":"18_CR18","unstructured":"Arp, R., Smith, B.: Realizable Entities in Basic Formal Ontology, National Center for Biomedical Ontology. University at Buffalo. http:\/\/ontology.buffalo.edu\/smith\/articles\/realizables.pdf Accessed 05 Feb 2021"},{"key":"18_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41597-019-0340-y","volume":"7","author":"Y He","year":"2020","unstructured":"He, Y., et al.: CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis. Sci. Data 7, 1\u20135 (2020)","journal-title":"Sci. Data"},{"key":"18_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/2041-1480-2-9","volume":"2","author":"Y Lin","year":"2011","unstructured":"Lin, Y., Xiang, Z., He, Y.: Brucellosis ontology (IDOBRU) as an extension of the infectious disease ontology. J. Biomed. Semant. 2, 1\u201318 (2011)","journal-title":"J. Biomed. Semant."},{"key":"18_CR21","unstructured":"Coronavirus disease (COVID-19) Q&A. World Health Organization. https:\/\/www.who.int\/emergencies\/diseases\/novel-coronavirus-2019\/question-and-answers-hub\/q-a-detail\/coronavirus-disease-covid-19 Accessed 06 Feb 2021"},{"key":"18_CR22","doi-asserted-by":"publisher","first-page":"727","DOI":"10.1056\/NEJMoa2001017","volume":"382","author":"N Zhu","year":"2020","unstructured":"Zhu, N., et al.: A novel coronavirus from patients with pneumonia in China, 2019. New England J. Med. 382, 727\u2013733 (2020)","journal-title":"New England J. Med."},{"key":"18_CR23","first-page":"1","volume":"7","author":"W Jin","year":"2020","unstructured":"Jin, W., et al.: A rapid advice guideline for the diagnosis and treatment of 2019 novel coronavirus (2019-nCoV) infected pneumonia (standard version). Mil. Med. Res. 7, 1\u201323 (2020)","journal-title":"Mil. Med. Res."},{"key":"18_CR24","unstructured":"Li, Q., et al.: Early transmission dynamics in Wuhan China, of novel coronavirus-infected pneumonia. New England J. Med. 382, 1199\u20131207 (2020)"},{"key":"18_CR25","unstructured":"Clinical management of COVID-19: interim guidance, World Health Organization. https:\/\/apps.who.int\/iris\/handle\/10665\/332196 Accessed 06 Feb 2021"},{"key":"18_CR26","doi-asserted-by":"crossref","unstructured":"Horby, P., Wei Shen Lim, W.S., Emberson, J., Mafham, M., Bell, J., et al.: Effect of dexamethasone in hospitalized patients with COVID-19: preliminary report. New England J. Med. (2020)","DOI":"10.1101\/2020.06.22.20137273"},{"key":"#cr-split#-18_CR27.1","doi-asserted-by":"crossref","unstructured":"Bezerra, C., Freitas, F., Santana, F.: Evaluating ontologies with competency questions. In: 2013 IEEE\/WIC\/ACM International Joint Conferences on Web Intelligence","DOI":"10.1109\/WI-IAT.2013.199"},{"key":"#cr-split#-18_CR27.2","unstructured":"(WI) and Intelligent Agent Technologies (IAT), pp. 1-3 (2013)"},{"key":"18_CR28","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.dib.2019.105098","volume":"29","author":"J Potoniec","year":"2020","unstructured":"Potoniec, J., Wisniewski, D., Lawrynowicz, A., Keet, C.M.: Dataset of ontology competency questions to SPARQL-OWL queries translations. Data Brief 29, 1\u201313 (2020)","journal-title":"Data Brief"}],"container-title":["Lecture Notes in Computer Science","Model and Data Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-78428-7_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,6,13]],"date-time":"2021-06-13T23:19:38Z","timestamp":1623626378000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-78428-7_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030784270","9783030784287"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-78428-7_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"14 June 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MEDI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Model and Data Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tallinn","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Estonia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 June 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 June 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"medi2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/cs.ttu.ee\/events\/medi2021\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-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":"47","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":"16","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":"8","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":"34% - 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":"2","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)"}},{"value":"Due to the Corona pandemic the event was held virtually.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}