{"id":"https://openalex.org/W3201211850","doi":null,"title":"COVIDGraph: Connecting biomedical COVID-19 resources and computational biology models","display_name":"COVIDGraph: Connecting biomedical COVID-19 resources and computational biology models","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3201211850","mag":"3201211850"},"language":"en","primary_location":{"id":"mag:3201211850","doi":null,"is_oa":false,"landing_page_url":"http://ceur-ws.org/Vol-2929/paper6.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306421142","display_name":"Very Large Data Bases","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Very Large Data Bases","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015671963","display_name":"Lea G\u00fctebier","orcid":"https://orcid.org/0000-0001-5504-5108","observed_orcids":["https://orcid.org/0000-0001-5504-5108"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lea G\u00fctebier","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-5504-5108","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029731037","display_name":"Ron Henkel","orcid":"https://orcid.org/0000-0001-6211-2719","observed_orcids":["https://orcid.org/0000-0001-6211-2719"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ron Henkel","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-6211-2719","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026883206","display_name":"A. Jarasch","orcid":"https://orcid.org/0000-0002-6810-0425","observed_orcids":["https://orcid.org/0000-0002-6810-0425"]},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander Jarasch","raw_affiliation_strings":["Technical University of Munich, Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0002-6810-0425","affiliations":[{"raw_affiliation_string":"Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035476171","display_name":"Tim Bleimehl","orcid":"https://orcid.org/0000-0002-2060-3920","observed_orcids":["https://orcid.org/0000-0002-2060-3920"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tim Bleimehl","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-2060-3920","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023060464","display_name":"Sebastian Alexander M\u00fcller","orcid":"https://orcid.org/0000-0002-3103-8955","observed_orcids":["https://orcid.org/0000-0002-3103-8955"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sebastian Alexander M\u00fcller","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-3103-8955","affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Jamie Munro","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jamie Munro","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013213584","display_name":"Martin Preusse","orcid":"https://orcid.org/0000-0003-4789-0592","observed_orcids":["https://orcid.org/0000-0003-4789-0592"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Martin Preusse","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-4789-0592","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066026057","display_name":"Dagmar Walthemath","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dagmar Walthemath","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5059410782","display_name":"Team HealthEcco","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Team HealthEcco","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1505,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.47108346,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"2929","issue":null,"first_page":"34","last_page":"37"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.6538000106811523,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.6538000106811523,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.093299999833107,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10118","display_name":"SARS-CoV-2 and COVID-19 Research","score":0.07509999722242355,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/covid-19","display_name":"COVID-19 pandemic","score":0.9850000143051147},{"id":"https://openalex.org/keywords/sars-cov-2","display_name":"SARS-CoV-2","score":0.9110000133514404},{"id":"https://openalex.org/keywords/knowledge-graphs","display_name":"knowledge graphs","score":0.7990000247955322},{"id":"https://openalex.org/keywords/biomedical-resources","display_name":"biomedical resources","score":0.5429999828338623},{"id":"https://openalex.org/keywords/data-integration","display_name":"data integration","score":0.7620000243186951},{"id":"https://openalex.org/keywords/disease-spread-prediction","display_name":"disease spread prediction","score":0.6620000004768372}],"concepts":[{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.768938422203064},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.6661725640296936},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.6154375076293945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5881473422050476},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5795154571533203},{"id":"https://openalex.org/C2775899829","wikidata":"https://www.wikidata.org/wiki/Q3109007","display_name":"Globe","level":2,"score":0.5642344951629639},{"id":"https://openalex.org/C152662350","wikidata":"https://www.wikidata.org/wiki/Q815297","display_name":"Systems biology","level":2,"score":0.4493258595466614},{"id":"https://openalex.org/C3007834351","wikidata":"https://www.wikidata.org/wiki/Q82069695","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","level":5,"score":0.4423017203807831},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.43550994992256165},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.315732479095459},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.23720043897628784},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.2317001223564148},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2003912329673767},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.19902721047401428},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.09735634922981262},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3201211850","doi":null,"is_oa":false,"landing_page_url":"http://ceur-ws.org/Vol-2929/paper6.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306421142","display_name":"Very Large Data Bases","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Very Large Data Bases","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W378747138","https://openalex.org/W1585895556","https://openalex.org/W1989277387","https://openalex.org/W1993595811","https://openalex.org/W2020561965","https://openalex.org/W2052250375","https://openalex.org/W2107903949","https://openalex.org/W2114507260","https://openalex.org/W2123604001","https://openalex.org/W2131581981","https://openalex.org/W2171926758","https://openalex.org/W2911489562","https://openalex.org/W2988361147","https://openalex.org/W3020786614","https://openalex.org/W3112600195"],"related_works":["https://openalex.org/W4293567583","https://openalex.org/W3088646411","https://openalex.org/W4284897201","https://openalex.org/W3095500399","https://openalex.org/W4281561214","https://openalex.org/W3202281227","https://openalex.org/W3051688780","https://openalex.org/W4377091913","https://openalex.org/W6960069946","https://openalex.org/W3086986628"],"abstract_inverted_index":{"The":[0],"COVID-19":[1,41,81],"pandemic":[2],"has":[3],"changed":[4],"life":[5],"across":[6],"the":[7,18,25,44,78,83,110,118,133,138,141],"globe.":[8],"In":[9,105],"January":[10],"2020,":[11],"little":[12],"was":[13,86],"known":[14],"about":[15],"SARS-COV-2,":[16],"but":[17],"vastly":[19],"increasing":[20],"number":[21],"of":[22,60,80,115,120,140],"infections":[23],"and":[24,63,70,92,102,113],"uncontrolled":[26],"spreading":[27],"demanded":[28],"fast":[29],"medical":[30,103],"action.":[31],"Within":[32],"a":[33,89],"year,":[34],"over":[35],"4":[36],"million":[37],"publications":[38],"relating":[39],"to":[40,136,145],"appeared":[42],"in":[43],"scientific":[45],"literature.":[46],"Additionally,":[47],"patents":[48],"have":[49,53,67,73],"been":[50,54,68,74],"registered,":[51],"ontologies":[52],"extended,":[55],"simulation":[56],"studies":[57,72],"for":[58,143],"prediction":[59],"disease":[61],"spread":[62],"underlying":[64],"bioinformatics":[65],"mechanisms":[66],"built,":[69],"health":[71],"designed.":[75],"To":[76],"support":[77],"exploration":[79],"data,":[82],"CovidGraph":[84],"project":[85,94],"initiated":[87],"as":[88],"non-profit,":[90],"collaborative":[91],"open":[93],"driven":[95],"by":[96],"researchers,":[97],"software":[98],"developers,":[99],"data":[100],"scientists":[101],"professionals.":[104],"this":[106],"article":[107],"we":[108,124],"outline":[109],"history,":[111],"goals":[112],"scope":[114,139],"CovidGraph.":[116],"Using":[117],"example":[119],"computational":[121],"biology":[122,147],"models,":[123],"show":[125],"how":[126],"additional":[127],"resources":[128],"can":[129],"be":[130],"integrated":[131],"with":[132],"knowledge":[134],"graph":[135],"extend":[137],"CovidGraph,":[142],"example,":[144],"systems":[146],"data.":[148],"\u00a9":[149],"2021":[150],"CEUR-WS.":[151],"All":[152],"rights":[153],"reserved.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2021-09-27T00:00:00"}