{"id":"https://openalex.org/W3189317405","doi":"https://doi.org/10.1145/3459637.3482191","title":"Storing Multi-model Data in RDBMSs based on Reinforcement Learning","display_name":"Storing Multi-model Data in RDBMSs based on Reinforcement Learning","publication_year":2021,"publication_date":"2021-10-26","ids":{"openalex":"https://openalex.org/W3189317405","doi":"https://doi.org/10.1145/3459637.3482191","mag":"3189317405"},"language":"en","primary_location":{"id":"doi:10.1145/3459637.3482191","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3459637.3482191","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2109.00141","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Gongsheng Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]},{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["CN","FI"],"is_corresponding":true,"raw_author_name":"Gongsheng Yuan","raw_affiliation_strings":["University of Helsinki &amp; Renmin University of China, Helsinki, Finland"],"affiliations":[{"raw_affiliation_string":"University of Helsinki &amp; Renmin University of China, Helsinki, Finland","institution_ids":["https://openalex.org/I78988378","https://openalex.org/I133731052"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiaheng Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jiaheng Lu","raw_affiliation_strings":["University Of Helsinki, Helsinki, Finland"],"affiliations":[{"raw_affiliation_string":"University Of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shuxun Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Shuxun Zhang","raw_affiliation_strings":["University of Helsinki, Helsinki, Finland"],"affiliations":[{"raw_affiliation_string":"University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"last","author":{"id":null,"display_name":"Zhengtong Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Zhengtong Yan","raw_affiliation_strings":["University of Helsinki, Helsinki, Finland"],"affiliations":[{"raw_affiliation_string":"University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I133731052","https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":1.1377,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.83059961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3608","last_page":"3611"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9984999895095825,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9966999888420105,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.6245999932289124},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.5194000005722046},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.45579999685287476},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.4262999892234802},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4226999878883362},{"id":"https://openalex.org/keywords/online-aggregation","display_name":"Online aggregation","score":0.39879998564720154},{"id":"https://openalex.org/keywords/view","display_name":"View","score":0.34700000286102295},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.33640000224113464},{"id":"https://openalex.org/keywords/relational-model","display_name":"Relational model","score":0.3021000027656555}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9017999768257141},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.6245999932289124},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.5194000005722046},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.45579999685287476},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4498000144958496},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.4262999892234802},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4226999878883362},{"id":"https://openalex.org/C24028149","wikidata":"https://www.wikidata.org/wiki/Q7094056","display_name":"Online aggregation","level":5,"score":0.39879998564720154},{"id":"https://openalex.org/C54239708","wikidata":"https://www.wikidata.org/wiki/Q1329910","display_name":"View","level":3,"score":0.34700000286102295},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.33640000224113464},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3070000112056732},{"id":"https://openalex.org/C40207289","wikidata":"https://www.wikidata.org/wiki/Q755662","display_name":"Relational model","level":3,"score":0.3021000027656555},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C30775581","wikidata":"https://www.wikidata.org/wiki/Q632285","display_name":"Database schema","level":3,"score":0.28279998898506165},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2808000147342682},{"id":"https://openalex.org/C24394798","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database management system","level":3,"score":0.2808000147342682},{"id":"https://openalex.org/C127722929","wikidata":"https://www.wikidata.org/wiki/Q7833714","display_name":"Transaction data","level":3,"score":0.28060001134872437},{"id":"https://openalex.org/C65647387","wikidata":"https://www.wikidata.org/wiki/Q1781706","display_name":"Conjunctive query","level":3,"score":0.2800000011920929},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.27570000290870667},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.2743000090122223},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.27239999175071716},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.2572999894618988},{"id":"https://openalex.org/C177877439","wikidata":"https://www.wikidata.org/wiki/Q7604413","display_name":"Statistical relational learning","level":3,"score":0.25189998745918274}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3459637.3482191","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3459637.3482191","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2109.00141","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2109.00141","pdf_url":"https://arxiv.org/pdf/2109.00141","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:helda.helsinki.fi:10138/338790","is_oa":true,"landing_page_url":"http://hdl.handle.net/10138/338790","pdf_url":null,"source":{"id":"https://openalex.org/S4210213322","display_name":"Ty\u00f6v\u00e4entutkimus Vuosikirja","issn_l":"0784-1272","issn":["0784-1272","1459-7780"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 contribution"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2109.00141","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2109.00141","pdf_url":"https://arxiv.org/pdf/2109.00141","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7864986337","display_name":null,"funder_award_id":"310321","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"}],"funders":[{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2022679230","https://openalex.org/W2033523472","https://openalex.org/W2181714304","https://openalex.org/W2897741697","https://openalex.org/W2953028579","https://openalex.org/W4233419801","https://openalex.org/W4244180879"],"related_works":[],"abstract_inverted_index":{"How":[0],"to":[1,28,56,63,78,82,110,146,172],"manage":[2],"various":[3],"data":[4,31,124],"in":[5,14,33,49,94,201],"a":[6,10,34,38,84,148,165,192],"unified":[7,40],"way":[8],"is":[9,54,76],"significant":[11],"research":[12],"topic":[13],"the":[15,50,64,117,120,127,141,159,174,177,196],"field":[16],"of":[17,68,122,129,157,176,203],"databases.":[18],"To":[19],"address":[20],"this":[21,103,134,137],"problem,":[22],"researchers":[23],"have":[24],"proposed":[25],"multi-model":[26,85,114,123,198],"databases":[27,46,109],"support":[29],"multiple":[30],"models":[32],"uniform":[35],"platform":[36],"with":[37,59,91,153],"single":[39],"query":[41,97,113,204],"language.":[42],"However,":[43],"since":[44],"relational":[45,108,131,149,193],"are":[47],"predominant":[48],"current":[51],"market,":[52],"it":[53,75],"expensive":[55],"replace":[57],"them":[58],"others.":[60],"Besides,":[61],"due":[62],"theories":[65],"and":[66,112,126,180,206],"technologies":[67],"RDBMSs":[69,93],"having":[70],"been":[71],"enhanced":[72],"over":[73],"decades,":[74],"hard":[77],"use":[79],"few":[80],"years":[81],"develop":[83],"database":[86],"that":[87,187],"can":[88],"be":[89],"compared":[90],"existing":[92,197],"handling":[95],"security,":[96],"optimization,":[98],"transaction":[99],"management,":[100],"etc.":[101],"In":[102],"paper,":[104],"we":[105,139,163],"reconsider":[106],"employing":[107],"store":[111],"data.":[115],"Unfortunately,":[116],"mismatch":[118],"between":[119],"complexity":[121],"structure":[125],"simplicity":[128],"flat":[130],"tables":[132],"makes":[133],"difficult.":[135],"Against":[136],"challenge,":[138],"utilize":[140],"reinforcement":[142],"learning":[143,182],"(RL)":[144],"method":[145],"learn":[147,191],"schema":[150,194,200],"by":[151],"interacting":[152],"an":[154],"RDBMS.":[155],"Instead":[156],"using":[158],"classic":[160],"Q-learning":[161,167],"algorithm,":[162,168],"propose":[164],"variant":[166],"called":[169],"Double":[170],"Q-tables,":[171],"reduce":[173],"dimension":[175],"original":[178],"Q-table":[179],"improve":[181],"efficiency.":[183],"Experimental":[184],"results":[185],"show":[186],"our":[188],"approach":[189],"could":[190],"outperforming":[195],"storage":[199],"terms":[202],"time":[205],"space":[207],"consumption.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2021-08-16T00:00:00"}
