{"id":"https://openalex.org/W4281961574","doi":"https://doi.org/10.1145/3514221.3520249","title":"DeepOLA: Online Aggregation for Deeply Nested Queries","display_name":"DeepOLA: Online Aggregation for Deeply Nested Queries","publication_year":2022,"publication_date":"2022-06-10","ids":{"openalex":"https://openalex.org/W4281961574","doi":"https://doi.org/10.1145/3514221.3520249"},"language":"en","primary_location":{"id":"doi:10.1145/3514221.3520249","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3514221.3520249","pdf_url":null,"source":{"id":"https://openalex.org/S4363608845","display_name":"Proceedings of the 2022 International Conference on Management of Data","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 International Conference on Management of Data","raw_type":"proceedings-article"},"type":"conference-paper","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/A5023253801","display_name":"Nikhil Sheoran","orcid":"https://orcid.org/0000-0003-4533-826X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nikhil Sheoran","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Champaign, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5023253801"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":0.1687,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.38117138,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2527","last_page":"2529"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining 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"}},"topics":[{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining 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"}},{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9919999837875366,"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/T10772","display_name":"Distributed systems and fault tolerance","score":0.988099992275238,"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":0.8499813079833984},{"id":"https://openalex.org/keywords/pace","display_name":"Pace","score":0.6755161285400391},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5921853184700012},{"id":"https://openalex.org/keywords/online-aggregation","display_name":"Online aggregation","score":0.588228166103363},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.5330155491828918},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.4916682839393616},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.45526957511901855},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4511248469352722},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.43511635065078735},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.42115747928619385},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.37537795305252075},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37081730365753174},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32635927200317383},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.1771281659603119}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8499813079833984},{"id":"https://openalex.org/C2777526511","wikidata":"https://www.wikidata.org/wiki/Q691543","display_name":"Pace","level":2,"score":0.6755161285400391},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5921853184700012},{"id":"https://openalex.org/C24028149","wikidata":"https://www.wikidata.org/wiki/Q7094056","display_name":"Online aggregation","level":5,"score":0.588228166103363},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.5330155491828918},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.4916682839393616},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.45526957511901855},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4511248469352722},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.43511635065078735},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.42115747928619385},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.37537795305252075},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37081730365753174},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32635927200317383},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.1771281659603119},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3514221.3520249","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3514221.3520249","pdf_url":null,"source":{"id":"https://openalex.org/S4363608845","display_name":"Proceedings of the 2022 International Conference on Management of Data","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 International Conference on Management of Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W105408422","https://openalex.org/W2002544066","https://openalex.org/W2018030107","https://openalex.org/W2132808937","https://openalex.org/W2167811976","https://openalex.org/W4229903866","https://openalex.org/W4251617391"],"related_works":["https://openalex.org/W2572349046","https://openalex.org/W3125756434","https://openalex.org/W2096359267","https://openalex.org/W4381740310","https://openalex.org/W2186703450","https://openalex.org/W2146885082","https://openalex.org/W2538384344","https://openalex.org/W906795786","https://openalex.org/W2017989738","https://openalex.org/W2402674558"],"abstract_inverted_index":{"With":[0],"the":[1,19,32,55,61,65,75,79,86,105,119,122],"advent":[2],"of":[3,22,34,85,104,121],"data-driven":[4],"operating":[5],"model,":[6],"deriving":[7],"useful":[8],"insights":[9,27],"from":[10],"big":[11],"data":[12,23],"analysis":[13],"has":[14,24,93],"become":[15],"very":[16],"important.":[17],"But":[18],"ever-increasing":[20],"volume":[21],"made":[25],"obtaining":[26],"at":[28],"\"rates":[29],"resonant":[30],"with":[31,81],"pace":[33],"human":[35],"thought\"":[36],"[4]":[37],"more":[38],"challenging.":[39],"Online":[40],"Aggregation":[41],"(OLA)":[42],"[3]":[43],"is":[44],"a":[45,95,102],"technique":[46],"that":[47],"tries":[48],"to":[49,63,100,117],"counter":[50],"this":[51],"by":[52],"incrementally":[53],"improving":[54],"query":[56,66,87],"result":[57,88],"estimates":[58],"and":[59],"allowing":[60],"user":[62,80,108],"observe":[64],"progress":[67],"as":[68,70,89,91,101],"well":[69],"control":[71],"its":[72],"execution":[73,120],"on":[74,110],"fly.":[76],"OLA":[77],"provides":[78],"an":[82],"approximate":[83],"estimate":[84],"soon":[90],"it":[92],"processed":[94],"small":[96],"portion":[97],"(hereafter":[98],"referred":[99],"partition)":[103],"data.":[106],"The":[107],"based":[109],"their":[111],"latency-error":[112],"trade-off":[113],"requirements":[114],"can":[115],"choose":[116],"stop":[118],"query.":[123]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
