{"id":"https://openalex.org/W3028746955","doi":"https://doi.org/10.1145/3375395.3389129","title":"Probabilistic Databases for All","display_name":"Probabilistic Databases for All","publication_year":2020,"publication_date":"2020-05-29","ids":{"openalex":"https://openalex.org/W3028746955","doi":"https://doi.org/10.1145/3375395.3389129","mag":"3028746955"},"language":"en","primary_location":{"id":"doi:10.1145/3375395.3389129","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3375395.3389129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems","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/A5048204602","display_name":"Dan Suciu","orcid":"https://orcid.org/0000-0002-4144-0868"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dan Suciu","raw_affiliation_strings":["University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5048204602"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":1.0605,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.81812746,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"19","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","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/T11303","display_name":"Bayesian Modeling and Causal Inference","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/T11106","display_name":"Data Management and Algorithms","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/probabilistic-database","display_name":"Probabilistic database","score":0.896154522895813},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.8442873358726501},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7024616599082947},{"id":"https://openalex.org/keywords/probabilistic-relevance-model","display_name":"Probabilistic relevance model","score":0.6303938627243042},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.6003848910331726},{"id":"https://openalex.org/keywords/joins","display_name":"Joins","score":0.575314462184906},{"id":"https://openalex.org/keywords/probabilistic-argumentation","display_name":"Probabilistic argumentation","score":0.531751275062561},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5310713648796082},{"id":"https://openalex.org/keywords/probabilistic-ctl","display_name":"Probabilistic CTL","score":0.5102391242980957},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.505957305431366},{"id":"https://openalex.org/keywords/divergence-from-randomness-model","display_name":"Divergence-from-randomness model","score":0.5035721659660339},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.4926806092262268},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.4503454566001892},{"id":"https://openalex.org/keywords/database-theory","display_name":"Database theory","score":0.4493121802806854},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4384707808494568},{"id":"https://openalex.org/keywords/probabilistic-logic-network","display_name":"Probabilistic logic network","score":0.41724854707717896},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38169729709625244},{"id":"https://openalex.org/keywords/probabilistic-analysis-of-algorithms","display_name":"Probabilistic analysis of algorithms","score":0.3512662947177887},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.31331080198287964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2921253442764282},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16775280237197876},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08768120408058167},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08028975129127502},{"id":"https://openalex.org/keywords/description-logic","display_name":"Description logic","score":0.074819415807724}],"concepts":[{"id":"https://openalex.org/C174539288","wikidata":"https://www.wikidata.org/wiki/Q7246853","display_name":"Probabilistic database","level":4,"score":0.896154522895813},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.8442873358726501},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7024616599082947},{"id":"https://openalex.org/C143017306","wikidata":"https://www.wikidata.org/wiki/Q3318133","display_name":"Probabilistic relevance model","level":4,"score":0.6303938627243042},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.6003848910331726},{"id":"https://openalex.org/C2778692605","wikidata":"https://www.wikidata.org/wiki/Q4041866","display_name":"Joins","level":2,"score":0.575314462184906},{"id":"https://openalex.org/C128828806","wikidata":"https://www.wikidata.org/wiki/Q7246848","display_name":"Probabilistic argumentation","level":3,"score":0.531751275062561},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5310713648796082},{"id":"https://openalex.org/C52063229","wikidata":"https://www.wikidata.org/wiki/Q7246845","display_name":"Probabilistic CTL","level":4,"score":0.5102391242980957},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.505957305431366},{"id":"https://openalex.org/C149189445","wikidata":"https://www.wikidata.org/wiki/Q5283894","display_name":"Divergence-from-randomness model","level":3,"score":0.5035721659660339},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.4926806092262268},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4503454566001892},{"id":"https://openalex.org/C12439846","wikidata":"https://www.wikidata.org/wiki/Q4809258","display_name":"Database theory","level":3,"score":0.4493121802806854},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4384707808494568},{"id":"https://openalex.org/C18998212","wikidata":"https://www.wikidata.org/wiki/Q7246856","display_name":"Probabilistic logic network","level":5,"score":0.41724854707717896},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38169729709625244},{"id":"https://openalex.org/C24404364","wikidata":"https://www.wikidata.org/wiki/Q7246846","display_name":"Probabilistic analysis of algorithms","level":3,"score":0.3512662947177887},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.31331080198287964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2921253442764282},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16775280237197876},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08768120408058167},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08028975129127502},{"id":"https://openalex.org/C102993220","wikidata":"https://www.wikidata.org/wiki/Q387196","display_name":"Description logic","level":2,"score":0.074819415807724},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C203659156","wikidata":"https://www.wikidata.org/wiki/Q6934805","display_name":"Multimodal logic","level":3,"score":0.0},{"id":"https://openalex.org/C3845977","wikidata":"https://www.wikidata.org/wiki/Q4826262","display_name":"Autoepistemic logic","level":4,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3375395.3389129","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3375395.3389129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7374402446","display_name":null,"funder_award_id":"1907997,1703281,1614738,1535565","funder_id":"https://openalex.org/F4320315254","funder_display_name":"Innovative Research Group Project of the National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320315254","display_name":"Innovative Research Group Project of the National Natural Science Foundation of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":84,"referenced_works":["https://openalex.org/W9945751","https://openalex.org/W73939759","https://openalex.org/W88660202","https://openalex.org/W132374903","https://openalex.org/W179198942","https://openalex.org/W1489366126","https://openalex.org/W1511986666","https://openalex.org/W1513861746","https://openalex.org/W1515568087","https://openalex.org/W1535430927","https://openalex.org/W1537730723","https://openalex.org/W1606383219","https://openalex.org/W1686746446","https://openalex.org/W1779256329","https://openalex.org/W1860880244","https://openalex.org/W1899311411","https://openalex.org/W1964821516","https://openalex.org/W1986660301","https://openalex.org/W1989783863","https://openalex.org/W1990391007","https://openalex.org/W1992609556","https://openalex.org/W1997945384","https://openalex.org/W1998076865","https://openalex.org/W2000437271","https://openalex.org/W2004366212","https://openalex.org/W2006912660","https://openalex.org/W2008641248","https://openalex.org/W2010438070","https://openalex.org/W2020774087","https://openalex.org/W2023076960","https://openalex.org/W2028114585","https://openalex.org/W2029138824","https://openalex.org/W2052936500","https://openalex.org/W2057361103","https://openalex.org/W2062897452","https://openalex.org/W2078686663","https://openalex.org/W2079785597","https://openalex.org/W2087213161","https://openalex.org/W2105541078","https://openalex.org/W2110363867","https://openalex.org/W2112319917","https://openalex.org/W2114267503","https://openalex.org/W2115826669","https://openalex.org/W2115836268","https://openalex.org/W2129299803","https://openalex.org/W2145487185","https://openalex.org/W2147156699","https://openalex.org/W2150115297","https://openalex.org/W2154368191","https://openalex.org/W2159080219","https://openalex.org/W2186752618","https://openalex.org/W2188252507","https://openalex.org/W2243132409","https://openalex.org/W2284810639","https://openalex.org/W2295420503","https://openalex.org/W2301141256","https://openalex.org/W2320648065","https://openalex.org/W2338322935","https://openalex.org/W2586666171","https://openalex.org/W2591700809","https://openalex.org/W2608353553","https://openalex.org/W2739264497","https://openalex.org/W2765370125","https://openalex.org/W2795241473","https://openalex.org/W2810687134","https://openalex.org/W2952812825","https://openalex.org/W2962752375","https://openalex.org/W2963614033","https://openalex.org/W2999916861","https://openalex.org/W3008117821","https://openalex.org/W3013448635","https://openalex.org/W3013481747","https://openalex.org/W3028979657","https://openalex.org/W3029199694","https://openalex.org/W3029896707","https://openalex.org/W3090021550","https://openalex.org/W3099451540","https://openalex.org/W3105758438","https://openalex.org/W3122109288","https://openalex.org/W4206807714","https://openalex.org/W4211035117","https://openalex.org/W4285719527","https://openalex.org/W4288269198","https://openalex.org/W4292080426"],"related_works":["https://openalex.org/W4238495367","https://openalex.org/W2749065928","https://openalex.org/W3214184572","https://openalex.org/W2225666389","https://openalex.org/W3132053208","https://openalex.org/W2338191200","https://openalex.org/W3028746955","https://openalex.org/W2104279947","https://openalex.org/W3168443568","https://openalex.org/W1977138429"],"abstract_inverted_index":{"In":[0],"probabilistic":[1,18,38,55,85,97],"databases":[2,19,56],"the":[3,44,50,75,91],"data":[4,29],"is":[5,8,20],"uncertain":[6],"and":[7,80,99],"modeled":[9],"by":[10],"a":[11,58,69],"probability":[12,45,64],"distribution.":[13],"The":[14],"central":[15],"problem":[16],"in":[17,40,49,84,90],"query":[21],"evaluation,":[22],"which":[23],"requires":[24],"performing":[25],"not":[26],"only":[27],"traditional":[28],"processing":[30],"such":[31],"as":[32,72],"joins,":[33],"projections,":[34],"unions,":[35],"but":[36],"also":[37],"inference":[39],"order":[41],"to":[42,60],"compute":[43],"of":[46,74,77,94],"each":[47],"item":[48],"answer.":[51],"At":[52],"their":[53,88],"core,":[54],"are":[57],"proposal":[59],"integrate":[61],"logic":[62],"with":[63],"theory.":[65],"This":[66],"paper":[67],"accompanies":[68],"talk":[70],"given":[71],"part":[73],"Gems":[76],"PODS":[78],"series,":[79],"describes":[81],"several":[82],"results":[83],"databases,":[86],"explaining":[87],"significance":[89],"broader":[92],"context":[93],"model":[95],"counting,":[96],"inference,":[98],"Statistical":[100],"Relational":[101],"Models.":[102]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}