{"id":"https://openalex.org/W2016753842","doi":"https://doi.org/10.1145/2623330.2623623","title":"Knowledge vault","display_name":"Knowledge vault","publication_year":2014,"publication_date":"2014-08-22","ids":{"openalex":"https://openalex.org/W2016753842","doi":"https://doi.org/10.1145/2623330.2623623","mag":"2016753842"},"language":"en","primary_location":{"id":"doi:10.1145/2623330.2623623","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2623330.2623623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-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/A5001402526","display_name":"Xin Luna Dong","orcid":"https://orcid.org/0009-0000-8667-322X"},"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":true,"raw_author_name":"Xin Dong","raw_affiliation_strings":["Google, Mountain View, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013932834","display_name":"Evgeniy Gabrilovich","orcid":"https://orcid.org/0000-0001-7933-1926"},"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":"Evgeniy Gabrilovich","raw_affiliation_strings":["Google, Mountain View, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064343893","display_name":"Geremy Heitz","orcid":null},"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":"Geremy Heitz","raw_affiliation_strings":["Google, Mountain View, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008579124","display_name":"Wilko Horn","orcid":null},"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":"Wilko Horn","raw_affiliation_strings":["Google, Mountain View, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087022523","display_name":"Ni Lao","orcid":"https://orcid.org/0000-0002-4034-7784"},"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":"Ni Lao","raw_affiliation_strings":["Google, Mountain View, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002713363","display_name":"Kevin Murphy","orcid":"https://orcid.org/0000-0001-5196-7236"},"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":"Kevin Murphy","raw_affiliation_strings":["Google, Mountain View, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089846014","display_name":"Thomas Strohmann","orcid":null},"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":"Thomas Strohmann","raw_affiliation_strings":["Google, Mountain View, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112680841","display_name":"Shaohua Sun","orcid":"https://orcid.org/0000-0001-7579-6734"},"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":"Shaohua Sun","raw_affiliation_strings":["Google, Mountain View, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100441563","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0002-0961-5365"},"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":"Wei Zhang","raw_affiliation_strings":["Google, Mountain View, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5001402526"],"corresponding_institution_ids":["https://openalex.org/I1291425158"],"apc_list":null,"apc_paid":null,"fwci":177.634,"has_fulltext":false,"cited_by_count":1553,"citation_normalized_percentile":{"value":0.99984679,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"601","last_page":"610"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9980000257492065,"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/T10028","display_name":"Topic Modeling","score":0.9980000257492065,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9923999905586243,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8539714813232422},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.7577297687530518},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.7262911796569824},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6155063509941101},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5863745808601379},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5525969862937927},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5279055237770081},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.49816393852233887},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.4647843837738037},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.42529332637786865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35599392652511597}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8539714813232422},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.7577297687530518},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.7262911796569824},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6155063509941101},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5863745808601379},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5525969862937927},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5279055237770081},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.49816393852233887},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.4647843837738037},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.42529332637786865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35599392652511597},{"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:10.1145/2623330.2623623","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2623330.2623623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7599999904632568,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W102708294","https://openalex.org/W1512387364","https://openalex.org/W1549656520","https://openalex.org/W1596986901","https://openalex.org/W1614298861","https://openalex.org/W1756422141","https://openalex.org/W1782550378","https://openalex.org/W1910578190","https://openalex.org/W1942169943","https://openalex.org/W1993500013","https://openalex.org/W2009937976","https://openalex.org/W2022166150","https://openalex.org/W2044515729","https://openalex.org/W2045495924","https://openalex.org/W2049770245","https://openalex.org/W2055317074","https://openalex.org/W2063105180","https://openalex.org/W2073545563","https://openalex.org/W2092364718","https://openalex.org/W2094728533","https://openalex.org/W2099752825","https://openalex.org/W2101802482","https://openalex.org/W2104411075","https://openalex.org/W2107598941","https://openalex.org/W2108223890","https://openalex.org/W2111488410","https://openalex.org/W2114157818","https://openalex.org/W2119465010","https://openalex.org/W2122865749","https://openalex.org/W2127426251","https://openalex.org/W2129207602","https://openalex.org/W2129763352","https://openalex.org/W2129842875","https://openalex.org/W2133134975","https://openalex.org/W2135451108","https://openalex.org/W2138204945","https://openalex.org/W2138605095","https://openalex.org/W2145124624","https://openalex.org/W2151502664","https://openalex.org/W2151803977","https://openalex.org/W2167187514","https://openalex.org/W2167686274","https://openalex.org/W2250770256","https://openalex.org/W2251960799","https://openalex.org/W2338322935","https://openalex.org/W2548695521","https://openalex.org/W2963587356","https://openalex.org/W4412342001","https://openalex.org/W6675925752","https://openalex.org/W6684656539","https://openalex.org/W6729382431"],"related_works":["https://openalex.org/W2380472855","https://openalex.org/W2106530619","https://openalex.org/W2381277088","https://openalex.org/W2382915105","https://openalex.org/W1986001501","https://openalex.org/W101241118","https://openalex.org/W2087210802","https://openalex.org/W4292070284","https://openalex.org/W4375958074","https://openalex.org/W1520100787"],"abstract_inverted_index":{"Recent":[0],"years":[1],"have":[2,38],"witnessed":[3],"a":[4,54,112],"proliferation":[5],"of":[6,68,120,127,135],"large-scale":[7],"knowledge":[8,34,57,79,83,108],"bases,":[9],"including":[10],"Wikipedia,":[11],"Freebase,":[12],"YAGO,":[13],"Microsoft's":[14],"Satori,":[15],"and":[16,74,110,140],"Google's":[17],"Knowledge":[18,52,98],"Graph.":[19],"To":[20],"increase":[21],"the":[22,125,132,136],"scale":[23],"even":[24],"further,":[25],"we":[26,50],"need":[27],"to":[28],"explore":[29,131],"automatic":[30],"methods":[31,90],"for":[32,91],"constructing":[33],"bases.":[35],"Previous":[36],"approaches":[37],"primarily":[39],"focused":[40],"on":[41],"text-based":[42],"extraction,":[43],"which":[44],"can":[45],"be":[46],"very":[47],"noisy.":[48],"Here":[49],"introduce":[51],"Vault,":[53],"Web-scale":[55],"probabilistic":[56,113],"base":[58],"that":[59,116,130],"combines":[60],"extractions":[61],"from":[62,81],"Web":[63],"content":[64],"(obtained":[65],"via":[66],"analysis":[67],"text,":[69],"tabular":[70],"data,":[71],"page":[72],"structure,":[73],"human":[75],"annotations)":[76],"with":[77],"prior":[78],"derived":[80],"existing":[82],"repositories.":[84],"We":[85,123],"employ":[86],"supervised":[87],"machine":[88],"learning":[89],"fusing":[92],"these":[93],"distinct":[94],"information":[95,138],"sources.":[96],"The":[97],"Vault":[99],"is":[100],"substantially":[101],"bigger":[102],"than":[103],"any":[104],"previously":[105],"published":[106],"structured":[107],"repository,":[109],"features":[111],"inference":[114],"system":[115],"computes":[117],"calibrated":[118],"probabilities":[119],"fact":[121],"correctness.":[122],"report":[124],"results":[126],"multiple":[128],"studies":[129],"relative":[133],"utility":[134],"different":[137],"sources":[139],"extraction":[141],"methods.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":16},{"year":2025,"cited_by_count":45},{"year":2024,"cited_by_count":80},{"year":2023,"cited_by_count":108},{"year":2022,"cited_by_count":113},{"year":2021,"cited_by_count":198},{"year":2020,"cited_by_count":194},{"year":2019,"cited_by_count":193},{"year":2018,"cited_by_count":189},{"year":2017,"cited_by_count":150},{"year":2016,"cited_by_count":143},{"year":2015,"cited_by_count":103},{"year":2014,"cited_by_count":21}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2016-06-24T00:00:00"}