{"id":"https://openalex.org/W2053457191","doi":"https://doi.org/10.1145/2658840.2658842","title":"A Paradigm for Learning Queries on Big Data","display_name":"A Paradigm for Learning Queries on Big Data","publication_year":2014,"publication_date":"2014-08-29","ids":{"openalex":"https://openalex.org/W2053457191","doi":"https://doi.org/10.1145/2658840.2658842","mag":"2053457191"},"language":"en","primary_location":{"id":"doi:10.1145/2658840.2658842","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2658840.2658842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First International Workshop on Bringing the Value of \"Big Data\" to Users (Data4U 2014)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-01052676","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085664755","display_name":"Angela Bonifati","orcid":"https://orcid.org/0000-0002-9582-869X"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I2279609970","display_name":"Universit\u00e9 de Lille","ror":"https://ror.org/02kzqn938","country_code":"FR","type":"education","lineage":["https://openalex.org/I2279609970"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Angela Bonifati","raw_affiliation_strings":["University of Lille & INRIA, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Lille & INRIA, France","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I2279609970"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004872692","display_name":"Radu Ciucanu","orcid":"https://orcid.org/0000-0001-9678-6615"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I2279609970","display_name":"Universit\u00e9 de Lille","ror":"https://ror.org/02kzqn938","country_code":"FR","type":"education","lineage":["https://openalex.org/I2279609970"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Radu Ciucanu","raw_affiliation_strings":["University of Lille & INRIA, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Lille & INRIA, France","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I2279609970"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044330058","display_name":"Aur\u00e9lien Lemay","orcid":null},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I2279609970","display_name":"Universit\u00e9 de Lille","ror":"https://ror.org/02kzqn938","country_code":"FR","type":"education","lineage":["https://openalex.org/I2279609970"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Aur\u00e9lien Lemay","raw_affiliation_strings":["University of Lille & INRIA, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Lille & INRIA, France","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I2279609970"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038280683","display_name":"S\u0142awek Staworko","orcid":"https://orcid.org/0000-0003-3684-3395"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I2279609970","display_name":"Universit\u00e9 de Lille","ror":"https://ror.org/02kzqn938","country_code":"FR","type":"education","lineage":["https://openalex.org/I2279609970"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"S\u0142awek Staworko","raw_affiliation_strings":["University of Lille & INRIA, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Lille & INRIA, France","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I2279609970"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0677,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.89244563,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"7","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9994999766349792,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9994999766349792,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9987999796867371,"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/T12288","display_name":"Optimization and Search Problems","score":0.9925000071525574,"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/computer-science","display_name":"Computer science","score":0.8861880302429199},{"id":"https://openalex.org/keywords/database-schema","display_name":"Database schema","score":0.6031290292739868},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.5958735942840576},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5254548788070679},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.48578977584838867},{"id":"https://openalex.org/keywords/schema-evolution","display_name":"Schema evolution","score":0.475973516702652},{"id":"https://openalex.org/keywords/view","display_name":"View","score":0.4500402510166168},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.43187618255615234},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42569828033447266},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3629493713378906},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.28858456015586853},{"id":"https://openalex.org/keywords/database-design","display_name":"Database design","score":0.28145769238471985},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.21405494213104248}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8861880302429199},{"id":"https://openalex.org/C30775581","wikidata":"https://www.wikidata.org/wiki/Q632285","display_name":"Database schema","level":3,"score":0.6031290292739868},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.5958735942840576},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5254548788070679},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.48578977584838867},{"id":"https://openalex.org/C2780660560","wikidata":"https://www.wikidata.org/wiki/Q3951893","display_name":"Schema evolution","level":4,"score":0.475973516702652},{"id":"https://openalex.org/C54239708","wikidata":"https://www.wikidata.org/wiki/Q1329910","display_name":"View","level":3,"score":0.4500402510166168},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.43187618255615234},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42569828033447266},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3629493713378906},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28858456015586853},{"id":"https://openalex.org/C148840519","wikidata":"https://www.wikidata.org/wiki/Q1049878","display_name":"Database design","level":2,"score":0.28145769238471985},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.21405494213104248}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1145/2658840.2658842","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2658840.2658842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First International Workshop on Bringing the Value of \"Big Data\" to Users (Data4U 2014)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.651.246","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.651.246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://researchers.lille.inria.fr/~ciucanu/ciucanu-data4u14.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-01052676v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01052676","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"https://sites.google.com/site/data4u2014/","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:lilloa.univ-lille.fr:20.500.12210/25567","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.12210/25567","pdf_url":null,"source":{"id":"https://openalex.org/S4306402203","display_name":"LillOA (Universit\u00e9 de Lille (University Of Lille))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210123514","host_organization_name":"Centre d'Etudes en Civilisations, Langues et Litt\u00e9ratures Etrang\u00e8res","host_organization_lineage":["https://openalex.org/I4210123514"],"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":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:pure.ed.ac.uk:openaire/8efedb48-cc0a-4a16-80a6-4820ea71d349","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/8efedb48-cc0a-4a16-80a6-4820ea71d349","pdf_url":null,"source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"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":"Bonifati, A, Ciucanu, R, Lemay, A & Staworko, S 2014, A Paradigm for Learning Queries on Big Data. in Proceedings of the First International Workshop on Bringing the Value of \"Big Data\" to Users, Data4U@VLDB 2014, Hangzhou, China, September 1, 2014. pp. 7. https://doi.org/10.1145/2658840.2658842","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.ed.ac.uk:publications/8efedb48-cc0a-4a16-80a6-4820ea71d349","is_oa":false,"landing_page_url":"http://doi.acm.org/10.1145/2658840.2658842","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:HAL:hal-01052676v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01052676","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"https://sites.google.com/site/data4u2014/","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W138607541","https://openalex.org/W1530285431","https://openalex.org/W1556285385","https://openalex.org/W1585829565","https://openalex.org/W1601069755","https://openalex.org/W1648433341","https://openalex.org/W1899648442","https://openalex.org/W1921404173","https://openalex.org/W1922845685","https://openalex.org/W1967180046","https://openalex.org/W1973082955","https://openalex.org/W1990391007","https://openalex.org/W2009182243","https://openalex.org/W2013167115","https://openalex.org/W2017603160","https://openalex.org/W2020298184","https://openalex.org/W2023878327","https://openalex.org/W2030566222","https://openalex.org/W2057178786","https://openalex.org/W2059052871","https://openalex.org/W2063103859","https://openalex.org/W2077207253","https://openalex.org/W2084568010","https://openalex.org/W2096454106","https://openalex.org/W2099239777","https://openalex.org/W2101654853","https://openalex.org/W2101827111","https://openalex.org/W2114376731","https://openalex.org/W2121115716","https://openalex.org/W2122483056","https://openalex.org/W2129010478","https://openalex.org/W2139709458","https://openalex.org/W2145492473","https://openalex.org/W2146008005","https://openalex.org/W2148544545","https://openalex.org/W2162775068","https://openalex.org/W2163051926","https://openalex.org/W2295123623","https://openalex.org/W2401502514","https://openalex.org/W2569219525","https://openalex.org/W2914331073","https://openalex.org/W4241372395","https://openalex.org/W4249682906","https://openalex.org/W6633463432","https://openalex.org/W6634693869","https://openalex.org/W6637035310","https://openalex.org/W6677117663","https://openalex.org/W6678064886","https://openalex.org/W6697200562","https://openalex.org/W6759166333"],"related_works":["https://openalex.org/W2079588361","https://openalex.org/W2800353001","https://openalex.org/W2153455914","https://openalex.org/W2098506051","https://openalex.org/W2241925915","https://openalex.org/W1588786827","https://openalex.org/W2707736662","https://openalex.org/W1533863182","https://openalex.org/W2774489303","https://openalex.org/W2911644013"],"abstract_inverted_index":{"Specifying":[0],"a":[1,5,11,50,76,105],"database":[2,36,93,102,112],"query":[3,7],"using":[4],"formal":[6],"language":[8],"is":[9],"typically":[10],"challenging":[12],"task":[13],"for":[14,79,128,134,150,155],"non-expert":[15],"users.":[16],"In":[17,71,114],"the":[18,31,54,92,111,125,144,148],"context":[19],"of":[20,38,82,91,107,146],"big":[21,39,85],"data,":[22,86],"this":[23,72,117],"problem":[24],"becomes":[25],"even":[26],"harder":[27],"as":[28,64],"it":[29],"requires":[30],"users":[32,55],"to":[33,44,52,100,110],"deal":[34],"with":[35],"instances":[37,47],"sizes":[40],"and":[41,104,133,154],"hence":[42],"difficult":[43],"visualize.":[45],"Such":[46],"usually":[48],"lack":[49],"schema":[51,63,158],"help":[53],"specify":[56],"their":[57],"queries,":[58],"or":[59],"have":[60],"an":[61],"incomplete":[62],"they":[65],"come":[66],"from":[67],"disparate":[68],"data":[69,152],"sources.":[70],"paper,":[73],"we":[74,119,142],"propose":[75],"novel":[77],"paradigm":[78,96,127,149],"interactive":[80],"learning":[81,129,135,156],"queries":[83,108,132,137],"on":[84,138],"without":[87],"assuming":[88],"any":[89],"knowledge":[90],"schema.":[94],"The":[95],"can":[97],"be":[98],"applied":[99],"different":[101],"models":[103,153],"class":[106],"adequate":[109],"model.":[113],"particular,":[115],"in":[116],"paper":[118],"present":[120],"two":[121],"instantiations":[122],"that":[123],"validated":[124],"proposed":[126],"relational":[130],"join":[131],"path":[136],"graph":[139],"databases.":[140],"Finally,":[141],"discuss":[143],"challenges":[145],"employing":[147],"further":[151],"cross-model":[157],"mappings.":[159]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}