{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T07:05:48Z","timestamp":1743059148761,"version":"3.40.3"},"publisher-location":"Cham","reference-count":37,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030722395"},{"type":"electronic","value":"9783030722401"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/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":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-72240-1_65","type":"book-chapter","created":{"date-parts":[[2021,3,29]],"date-time":"2021-03-29T12:02:43Z","timestamp":1617019363000},"page":"559-564","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Brief Description of COVID-SEE: The Scientific Evidence Explorer for COVID-19 Related Research"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8661-1544","authenticated-orcid":false,"given":"Karin","family":"Verspoor","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8817-8545","authenticated-orcid":false,"given":"Simon","family":"\u0160uster","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yulia","family":"Otmakhova","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shevon","family":"Mendis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zenan","family":"Zhai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Biaoyan","family":"Fang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jey Han","family":"Lau","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Timothy","family":"Baldwin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antonio","family":"Jimeno Yepes","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Martinez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,3,30]]},"reference":[{"key":"65_CR1","unstructured":"COVID-19 Living OVerview of Evidence. https:\/\/app.iloveevidence.com\/loves\/5e6fdb9669c00e4ac072701d?utm=aile. Accessed 30 Oct 2020"},{"key":"65_CR2","unstructured":"COVID-19 Navigator. https:\/\/covid-19-navigator.mybluemix.net\/. Accessed 30 Oct 2020"},{"key":"65_CR3","unstructured":"COVID Intelligent Search. https:\/\/covidsearch.sinequa.com. Accessed 30 Oct 2020"},{"key":"65_CR4","unstructured":"DOC Search. https:\/\/covid-search.doctorevidence.com. Accessed 30 Oct 2020"},{"key":"65_CR5","unstructured":"Flask application development framework. https:\/\/flask.palletsprojects.com\/. Accessed 30 Oct 2020"},{"key":"65_CR6","unstructured":"MetaMap. http:\/\/metamap.nlm.nih.gov. Accessed 30 Oct 2020"},{"key":"65_CR7","unstructured":"neo4j graph database. http:\/\/neo4j.com. Accessed 30 Oct 2020"},{"key":"65_CR8","unstructured":"py2neo Python library. http:\/\/py2neo.org. Accessed 30 Oct 2020"},{"key":"65_CR9","unstructured":"pyLDAvis package. https:\/\/github.com\/bmabey\/pyLDAvis. Accessed 30 Oct 2020"},{"key":"65_CR10","unstructured":"React Javascript framework. https:\/\/reactjs.org\/. Accessed 30 Oct 2020"},{"key":"65_CR11","unstructured":"React wordcloud package. https:\/\/github.com\/chrisrzhou\/react-wordcloud. Accessed 30 Oct 2020"},{"key":"65_CR12","unstructured":"SciSight. https:\/\/scisight.apps.allenai.org. Accessed 30 Oct 2020"},{"key":"65_CR13","unstructured":"SemViz. https:\/\/www.semviz.org\/. Accessed 30 Oct 2020"},{"key":"65_CR14","unstructured":"WellAI. https:\/\/wellai.health\/covid\/. Accessed 30 Oct 2020"},{"issue":"3","key":"65_CR15","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1136\/jamia.2009.002733","volume":"17","author":"AR Aronson","year":"2010","unstructured":"Aronson, A.R., Lang, F.M.: An overview of metamap: historical perspective and recent advances. J. Am. Med. Inform. Assoc. 17(3), 229\u2013236 (2010)","journal-title":"J. Am. Med. Inform. Assoc."},{"key":"65_CR16","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Machine Learn. Res. 3, 993\u20131022 (2003)"},{"key":"65_CR17","doi-asserted-by":"publisher","unstructured":"Chen, Q., Allot, A., Lu, Z.: Keep up with the latest coronavirus research. Nature 579(7798), 193 (2020). https:\/\/doi.org\/10.1038\/d41586-020-00694-1, https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/32157233","DOI":"10.1038\/d41586-020-00694-1"},{"key":"65_CR18","doi-asserted-by":"crossref","unstructured":"G\u00f6rg, C., et al.: Visualization and language processing for supporting analysis across the biomedical literature. In: International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, pp. 420\u2013429 (2010)","DOI":"10.1007\/978-3-642-15384-6_45"},{"key":"65_CR19","doi-asserted-by":"publisher","unstructured":"Hakala, K., Kaewphan, S., Salakoski, T., Ginter, F.: Syntactic analyses and named entity recognition for PubMed and PubMed central \u2013 up-to-the-minute. In: Proceedings of the 15th Workshop on Biomedical Natural Language Processing, pp. 102\u2013107. Association for Computational Linguistics, Berlin, Germany (2016). https:\/\/doi.org\/10.18653\/v1\/W16-2913, https:\/\/www.aclweb.org\/anthology\/W16-2913","DOI":"10.18653\/v1\/W16-2913"},{"key":"65_CR20","doi-asserted-by":"crossref","unstructured":"Hope, T., et al.: SciSight: combining faceted navigation and research group detection for COVID-19 exploratory scientific search. bioRxiv (2020)","DOI":"10.1101\/2020.05.23.112284"},{"key":"65_CR21","doi-asserted-by":"crossref","unstructured":"Hutson, M.: Artificial-intelligence tools aim to tame the coronavirus literature. Nature (2020). https:\/\/doi.org\/10.1038\/d41586-020-01733-7","DOI":"10.1038\/d41586-020-01733-7"},{"key":"65_CR22","doi-asserted-by":"publisher","unstructured":"Lample, G., Ballesteros, M., Subramanian, S., Kawakami, K., Dyer, C.: Neural architectures for named entity recognition. In: Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 260\u2013270. Association for Computational Linguistics, San Diego, California (2016). https:\/\/doi.org\/10.18653\/v1\/N16-1030, https:\/\/www.aclweb.org\/anthology\/N16-1030","DOI":"10.18653\/v1\/N16-1030"},{"key":"65_CR23","unstructured":"Le Bras, P., Gharavi, A., Robb, D.A., Vidal, A.F., Padilla, S., Chantler, M.J.: Visualising COVID-19 Research. arXiv:2005.06380 (2020)"},{"issue":"01","key":"65_CR24","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1055\/s-0038-1637976","volume":"2","author":"DA Lindberg","year":"1993","unstructured":"Lindberg, D.A., Humphreys, B.L., McCray, A.T.: The unified medical language system. Yearbook Med. Inform. 2(01), 41\u201351 (1993)","journal-title":"Yearbook Med. Inform."},{"key":"65_CR25","doi-asserted-by":"crossref","unstructured":"Marchionini, G.: Exploratory search: From finding to understanding. Commun. ACM 49(4), 41\u201346 (2006). https:\/\/doi.org\/10.1145\/1121949.1121979","DOI":"10.1145\/1121949.1121979"},{"key":"65_CR26","doi-asserted-by":"publisher","unstructured":"Nye, B., et al.: A corpus with multi-level annotations of patients, interventions and outcomes to support language processing for medical literature. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (volume 1: Long Papers), pp. 197\u2013207. Association for Computational Linguistics, Melbourne, Australia (2018). https:\/\/doi.org\/10.18653\/v1\/P18-1019, https:\/\/www.aclweb.org\/anthology\/P18-1019","DOI":"10.18653\/v1\/P18-1019"},{"key":"65_CR27","unstructured":"Nye, B., Nenkova, A., Marshall, I., Wallace, B.C.: Trialstreamer: mapping and browsing medical evidence in real-time. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pp. 63\u201369. Association for Computational Linguistics, Online (2020). https:\/\/www.aclweb.org\/anthology\/2020.acl-demos.9"},{"key":"65_CR28","doi-asserted-by":"publisher","unstructured":"Pang, P.C.I., Verspoor, K., Chang, S., Pearce, J.: Conceptualising healthinformation seeking behaviours and exploratory search: result of aqualitative study. Health Technol. 5(1), 45\u201355 (2015).https:\/\/doi.org\/10.1007\/s12553-015-0096-0, https:\/\/doi.org\/10.1007\/s12553-015-0096-0","DOI":"10.1007\/s12553-015-0096-0"},{"key":"65_CR29","doi-asserted-by":"crossref","unstructured":"Rayson, P., Garside, R.: Comparing corpora using frequency profiling. The Workshop on Comparing Corpora, pp. 1\u20136 (2000)","DOI":"10.3115\/1117729.1117730"},{"issue":"3","key":"65_CR30","doi-asserted-by":"crossref","first-page":"A12","DOI":"10.7326\/ACPJC-1995-123-3-A12","volume":"123","author":"WS Richardson","year":"1995","unstructured":"Richardson, W.S., Wilson, M.C., Nishikawa, J., Hayward, R.S., et al.: The well-built clinical question: a key to evidence-based decisions. Acp J Club 123(3), A12\u20133 (1995)","journal-title":"Acp J Club"},{"key":"65_CR31","doi-asserted-by":"crossref","unstructured":"R\u00f6der, M., Both, A., Hinneburg, A.: Exploring the space of topic coherence measures. In: Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, pp. 399\u2013408 (2015)","DOI":"10.1145\/2684822.2685324"},{"issue":"2","key":"65_CR32","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1057\/palgrave.ivs.9500180","volume":"7","author":"J Stasko","year":"2008","unstructured":"Stasko, J., G\u00f6rg, C., Liu, Z.: Jigsaw: supporting investigative analysis through interactive visualization. Inf. Visual. 7(2), 118\u2013132 (2008). https:\/\/doi.org\/10.1057\/palgrave.ivs.9500180","journal-title":"Inf. Visual."},{"key":"65_CR33","doi-asserted-by":"crossref","unstructured":"Tu, J., Verhagen, M., Cochran, B., Pustejovsky, J.: Exploration and Discovery of the COVID-19 Literature through Semantic Visualization. arXiv:2007.01800 (2020)","DOI":"10.18653\/v1\/2021.naacl-srw.11"},{"key":"65_CR34","doi-asserted-by":"crossref","unstructured":"Verspoor, K., et al.: Covid-see: Scientific evidence explorer for covid-19 related research (2020)","DOI":"10.1007\/978-3-030-72240-1_65"},{"key":"65_CR35","doi-asserted-by":"publisher","unstructured":"Wang, L.L., Lo, K.: Text mining approaches for dealing with the rapidly expanding literature on COVID-19. Brief. Bioinform. (2020). https:\/\/doi.org\/10.1093\/bib\/bbaa296, https:\/\/doi.org\/10.1093\/bib\/bbaa296","DOI":"10.1093\/bib\/bbaa296"},{"key":"65_CR36","unstructured":"Wang, L.L., et al.: CORD-19: the COVID-19 open research dataset. In: Proceedings of the 1st Workshop on NLP for COVID-19 at ACL 2020. Association for Computational Linguistics, Online (2020). https:\/\/www.aclweb.org\/anthology\/2020.nlpcovid19-acl.1"},{"key":"65_CR37","unstructured":"Zhang, E., Gupta, N., Nogueira, R., Cho, K., Lin, J.: Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset: Preliminary Thoughts and Lessons Learned. arXiv:2004.05125 (2020)"}],"container-title":["Lecture Notes in Computer Science","Advances in Information Retrieval"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-72240-1_65","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,22]],"date-time":"2022-12-22T19:38:12Z","timestamp":1671737892000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-72240-1_65"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030722395","9783030722401"],"references-count":37,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-72240-1_65","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"30 March 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECIR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Information Retrieval","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 March 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 April 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"43","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecir2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.ecir2021.eu\/","order":11,"name":"conference_url","label":"Conference URL","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":"436","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":"50","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":"39","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":"11% - 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":"3","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}