{"id":"https://openalex.org/W3194733996","doi":"https://doi.org/10.1145/3483382.3483393","title":"Report on the first workshop on bias in automatic knowledge graph construction at AKBC 2020","display_name":"Report on the first workshop on bias in automatic knowledge graph construction at AKBC 2020","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3194733996","doi":"https://doi.org/10.1145/3483382.3483393","mag":"3194733996"},"language":"en","primary_location":{"id":"doi:10.1145/3483382.3483393","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3483382.3483393","pdf_url":null,"source":{"id":"https://openalex.org/S6756005","display_name":"ACM SIGIR Forum","issn_l":"0163-5840","issn":["0163-5840","1558-0229"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGIR Forum","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5019130511","display_name":"Tara Safavi","orcid":"https://orcid.org/0000-0002-3553-4331"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tara Safavi","raw_affiliation_strings":["University of Michigan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031940626","display_name":"Edgar Meij","orcid":"https://orcid.org/0000-0003-0516-3688"},"institutions":[{"id":"https://openalex.org/I1299907687","display_name":"Bloomberg (United States)","ror":"https://ror.org/02rdpzb15","country_code":"US","type":"company","lineage":["https://openalex.org/I1299907687"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Edgar Meij","raw_affiliation_strings":["Bloomberg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bloomberg","institution_ids":["https://openalex.org/I1299907687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070638387","display_name":"Fatma \u00d6zcan","orcid":"https://orcid.org/0000-0002-4418-4724"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fatma \u00d6zcan","raw_affiliation_strings":["Google"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007049707","display_name":"\u041c\u0438\u0440\u0438\u0430\u043c \u0420\u0435\u0434\u0438","orcid":"https://orcid.org/0000-0002-0581-0251"},"institutions":[{"id":"https://openalex.org/I4210126245","display_name":"Wikimedia Foundation","ror":"https://ror.org/032q98j12","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210126245"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Miriam Redi","raw_affiliation_strings":["Wikimedia Foundation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wikimedia Foundation","institution_ids":["https://openalex.org/I4210126245"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052565959","display_name":"Gianluca Demartini","orcid":"https://orcid.org/0000-0002-7311-3693"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Gianluca Demartini","raw_affiliation_strings":["University of Queensland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Queensland","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102363883","display_name":"Chenyan Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chenyan Xiong","raw_affiliation_strings":["Microsoft Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5019130511"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":0.136,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60648494,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"54","issue":"2","first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9997000098228455,"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/T10028","display_name":"Topic Modeling","score":0.9976999759674072,"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/T11719","display_name":"Data Quality and Management","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8583046793937683},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.6189796924591064},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.6178918480873108},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.53705894947052},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5336359739303589},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5333953499794006},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5191968679428101},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42529261112213135},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3828577399253845},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33344346284866333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.204119473695755},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1385129690170288}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8583046793937683},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.6189796924591064},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.6178918480873108},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.53705894947052},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5336359739303589},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5333953499794006},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5191968679428101},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42529261112213135},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3828577399253845},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33344346284866333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.204119473695755},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1385129690170288},{"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":"doi:10.1145/3483382.3483393","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3483382.3483393","pdf_url":null,"source":{"id":"https://openalex.org/S6756005","display_name":"ACM SIGIR Forum","issn_l":"0163-5840","issn":["0163-5840","1558-0229"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGIR Forum","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1529533208","https://openalex.org/W2080133951","https://openalex.org/W2094728533","https://openalex.org/W2604165577","https://openalex.org/W2798483934","https://openalex.org/W2810583043","https://openalex.org/W2889624842","https://openalex.org/W2898844580","https://openalex.org/W2926555354","https://openalex.org/W2946144988","https://openalex.org/W2946267351","https://openalex.org/W2954112064","https://openalex.org/W2955953746","https://openalex.org/W2962787423","https://openalex.org/W2963526187","https://openalex.org/W3047898934","https://openalex.org/W3083093643","https://openalex.org/W3086449220","https://openalex.org/W3098101986","https://openalex.org/W3099203518","https://openalex.org/W3102839128","https://openalex.org/W3179330268","https://openalex.org/W4205807230","https://openalex.org/W4287691524","https://openalex.org/W6781234012"],"related_works":["https://openalex.org/W2367614173","https://openalex.org/W2472885054","https://openalex.org/W2120460904","https://openalex.org/W3005218912","https://openalex.org/W3203944151","https://openalex.org/W1568564986","https://openalex.org/W3200449081","https://openalex.org/W3043550961","https://openalex.org/W1524858705","https://openalex.org/W4226370857"],"abstract_inverted_index":{"We":[0],"report":[1],"on":[2,6],"the":[3,18,39,56,92,105],"First":[4],"Workshop":[5],"Bias":[7],"in":[8,34,38,58,91,94],"Automatic":[9],"Knowledge":[10,20],"Graph":[11],"Construction":[12,22],"(KG-BIAS),":[13],"which":[14],"was":[15,75],"co-located":[16],"with":[17,88],"Automated":[19],"Base":[21],"(AKBC)":[23],"2020":[24],"conference.":[25],"Identifying":[26],"and":[27,54,102,121,134,141],"possibly":[28],"remediating":[29],"any":[30],"sort":[31],"of":[32,81,86],"bias":[33],"knowledge":[35],"graphs,":[36],"or":[37,44],"methods":[40],"used":[41],"to":[42,76,96],"construct":[43],"query":[45],"them,":[46],"has":[47],"clear":[48],"implications":[49],"for":[50,71,104,138],"downstream":[51],"systems":[52],"accessing":[53],"using":[55],"information":[57],"such":[59],"graphs.":[60],"However,":[61],"this":[62,73,139],"topic":[63],"remains":[64],"relatively":[65],"unstudied,":[66],"so":[67],"our":[68],"main":[69],"aim":[70],"organizing":[72],"workshop":[74],"bring":[77],"together":[78],"a":[79,84,99,108,122,131],"group":[80],"people":[82],"from":[83],"variety":[85],"backgrounds":[87],"an":[89,114],"interest":[90],"topic,":[93],"order":[95],"arrive":[97],"at":[98],"shared":[100,135],"definition":[101],"roadmap":[103],"future.":[106],"Through":[107],"program":[109],"that":[110],"included":[111],"two":[112],"keynotes,":[113],"invited":[115],"paper,":[116],"three":[117],"peer-reviewed":[118],"full":[119],"papers,":[120],"plenary":[123],"discussion,":[124],"we":[125],"have":[126],"made":[127],"initial":[128],"inroads":[129],"towards":[130],"common":[132],"understanding":[133],"research":[136],"agenda":[137],"timely":[140],"important":[142],"topic.":[143]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}