{"id":"https://openalex.org/W2046536636","doi":"https://doi.org/10.1145/2535838.2535850","title":"Tabular","display_name":"Tabular","publication_year":2014,"publication_date":"2014-01-08","ids":{"openalex":"https://openalex.org/W2046536636","doi":"https://doi.org/10.1145/2535838.2535850","mag":"2046536636"},"language":"en","primary_location":{"id":"doi:10.1145/2535838.2535850","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2535838.2535850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-220064","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078684560","display_name":"Andrew D. Gordon","orcid":"https://orcid.org/0000-0002-5809-2484"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]},{"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":true,"raw_author_name":"Andrew D. Gordon","raw_affiliation_strings":["Microsoft Research and University of Edinburgh, Cambridge, United Kingdom","Microsoft Research and University of Edinburgh, Cambridge, United Kingdom#TAB#"],"affiliations":[{"raw_affiliation_string":"Microsoft Research and University of Edinburgh, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I4210164937","https://openalex.org/I98677209"]},{"raw_affiliation_string":"Microsoft Research and University of Edinburgh, Cambridge, United Kingdom#TAB#","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051619646","display_name":"Thore Graepel","orcid":"https://orcid.org/0000-0003-3957-0310"},"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"]},{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Thore Graepel","raw_affiliation_strings":["Microsoft Research, Cambridge, United Kingdom","Microsoft Research, Cambridge, United Kingdom ("],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom (","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006243511","display_name":"Nicolas Rolland","orcid":"https://orcid.org/0000-0001-9883-8124"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"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","US"],"is_corresponding":false,"raw_author_name":"Nicolas Rolland","raw_affiliation_strings":["Microsoft Research, Cambridge, United Kingdom","Microsoft Research, Cambridge, United Kingdom ("],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom (","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081301440","display_name":"Claudio Russo","orcid":"https://orcid.org/0000-0003-4877-2424"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"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","US"],"is_corresponding":false,"raw_author_name":"Claudio Russo","raw_affiliation_strings":["Microsoft Research, Cambridge, United Kingdom","Microsoft Research, Cambridge, United Kingdom ("],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom (","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038036076","display_name":"Johannes Borgstr\u00f6m","orcid":"https://orcid.org/0000-0001-5990-5742"},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Johannes Borgstrom","raw_affiliation_strings":["Uppsala University, Uppsala, Sweden","Uppsala University , Uppsala, Sweden"],"affiliations":[{"raw_affiliation_string":"Uppsala University, Uppsala, Sweden","institution_ids":["https://openalex.org/I123387679"]},{"raw_affiliation_string":"Uppsala University , Uppsala, Sweden","institution_ids":["https://openalex.org/I123387679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008251710","display_name":"John Guiver","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"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","US"],"is_corresponding":false,"raw_author_name":"John Guiver","raw_affiliation_strings":["Microsoft Research, Cambridge, United Kingdom","Microsoft Research, Cambridge, United Kingdom ("],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom (","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5078684560"],"corresponding_institution_ids":["https://openalex.org/I4210164937","https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":10.1284,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.98183044,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"321","last_page":"334"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9979000091552734,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9979000091552734,"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":0.9975000023841858,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9973000288009644,"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":0.8519334197044373},{"id":"https://openalex.org/keywords/succinctness","display_name":"Succinctness","score":0.6839637160301208},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5504235029220581},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5359312891960144},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.5150494575500488},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.46821001172065735},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4668719470500946},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.44497692584991455},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.4435957074165344},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4275517165660858},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42193418741226196},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3905482590198517},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3012714982032776},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.27634066343307495}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8519334197044373},{"id":"https://openalex.org/C2776493592","wikidata":"https://www.wikidata.org/wiki/Q5158717","display_name":"Succinctness","level":2,"score":0.6839637160301208},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5504235029220581},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5359312891960144},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.5150494575500488},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.46821001172065735},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4668719470500946},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.44497692584991455},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.4435957074165344},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4275517165660858},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42193418741226196},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3905482590198517},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3012714982032776},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27634066343307495},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/2535838.2535850","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2535838.2535850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages","raw_type":"proceedings-article"},{"id":"pmh:oai:DiVA.org:uu-220064","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-220064","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"},{"id":"pmh:oai:pure.ed.ac.uk:openaire/87e1abf3-80e1-417c-8d1b-d2cb4e4d2b1c","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/87e1abf3-80e1-417c-8d1b-d2cb4e4d2b1c","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Gordon, A D, Graepel, T, Rolland, N, Russo, C, Borgstrom, J & Guiver, J 2014, Tabular: A Schema-driven Probabilistic Programming Language. in Proceedings of the 41st ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages. ACM SIGPLAN Notices, no. 1, vol. 49, New York, NY, USA, pp. 321-334, 41st ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, San Diego, California, United States, 22/01/14. https://doi.org/10.1145/2535838.2535850","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.ed.ac.uk:publications/87e1abf3-80e1-417c-8d1b-d2cb4e4d2b1c","is_oa":false,"landing_page_url":"http://doi.acm.org/10.1145/2535838.2535850","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"pmh:oai:DiVA.org:uu-220064","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-220064","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W128101668","https://openalex.org/W156498718","https://openalex.org/W184493040","https://openalex.org/W342302233","https://openalex.org/W1499878068","https://openalex.org/W1515272691","https://openalex.org/W1585529040","https://openalex.org/W1588527235","https://openalex.org/W1817485576","https://openalex.org/W1831716037","https://openalex.org/W1860880244","https://openalex.org/W1880262756","https://openalex.org/W1890754682","https://openalex.org/W1949894903","https://openalex.org/W2050509196","https://openalex.org/W2059802626","https://openalex.org/W2059922215","https://openalex.org/W2093149131","https://openalex.org/W2099655235","https://openalex.org/W2101705355","https://openalex.org/W2105268242","https://openalex.org/W2114157818","https://openalex.org/W2116436934","https://openalex.org/W2118440866","https://openalex.org/W2123388621","https://openalex.org/W2133059703","https://openalex.org/W2135209143","https://openalex.org/W2135394066","https://openalex.org/W2137077888","https://openalex.org/W2141524150","https://openalex.org/W2144799688","https://openalex.org/W2153975459","https://openalex.org/W2169784622","https://openalex.org/W2170694982","https://openalex.org/W2176577076","https://openalex.org/W2298292997","https://openalex.org/W2540540486","https://openalex.org/W2615879196","https://openalex.org/W2622463260","https://openalex.org/W2786929740","https://openalex.org/W2895423403","https://openalex.org/W3005561798","https://openalex.org/W4250551189","https://openalex.org/W4299881428","https://openalex.org/W6605288784"],"related_works":["https://openalex.org/W2359995945","https://openalex.org/W1609236127","https://openalex.org/W1581583767","https://openalex.org/W1999147218","https://openalex.org/W2170813354","https://openalex.org/W302213122","https://openalex.org/W2109725814","https://openalex.org/W306845974","https://openalex.org/W2008388355","https://openalex.org/W2572125165"],"abstract_inverted_index":{"We":[0,12,25,51],"propose":[1],"a":[2,27,74,86,97,101],"new":[3],"kind":[4],"of":[5,30,44,49,58,61,76,104],"probabilistic":[6,22],"programming":[7],"language":[8],"for":[9,93],"machine":[10],"learning.":[11],"write":[13],"programs":[14],"simply":[15],"by":[16],"annotating":[17],"existing":[18],"relational":[19],"schemas":[20,78],"with":[21,35],"model":[23],"expressions.":[24],"describe":[26,71],"detailed":[28],"design":[29],"our":[31,62],"language,":[32],"Tabular,":[33],"complete":[34],"formal":[36],"semantics":[37],"and":[38,55,72,110],"type":[39],"system.":[40],"A":[41],"rich":[42],"series":[43],"examples":[45],"illustrates":[46],"the":[47,59],"expressiveness":[48],"Tabular.":[50],"report":[52],"an":[53],"implementation,":[54],"show":[56],"evidence":[57],"succinctness":[60],"notation":[63],"relative":[64],"to":[65,81,91,100],"current":[66],"best":[67],"practice.":[68],"Finally,":[69],"we":[70],"verify":[73],"transformation":[75],"Tabular":[77],"so":[79],"as":[80],"predict":[82],"missing":[83,94],"values":[84,95],"in":[85],"concrete":[87],"database.":[88],"The":[89],"ability":[90],"query":[92],"provides":[96],"uniform":[98],"interface":[99],"wide":[102],"variety":[103],"tasks,":[105],"including":[106],"classification,":[107],"clustering,":[108],"recommendation,":[109],"ranking.":[111]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2016-06-24T00:00:00"}
