{"id":"https://openalex.org/W2080217302","doi":"https://doi.org/10.1145/2463676.2465335","title":"Toward practical query pricing with QueryMarket","display_name":"Toward practical query pricing with QueryMarket","publication_year":2013,"publication_date":"2013-06-22","ids":{"openalex":"https://openalex.org/W2080217302","doi":"https://doi.org/10.1145/2463676.2465335","mag":"2080217302"},"language":"en","primary_location":{"id":"doi:10.1145/2463676.2465335","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2463676.2465335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data","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/A5040506752","display_name":"Paraschos Koutris","orcid":"https://orcid.org/0000-0001-6309-1702"},"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":"Paraschos Koutris","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"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055194221","display_name":"Prasang Upadhyaya","orcid":null},"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"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prasang Upadhyaya","raw_affiliation_strings":["University of Washington, Seattle, USA","University of Washington - Seattle, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, USA","institution_ids":["https://openalex.org/I201448701","https://openalex.org/I58610484"]},{"raw_affiliation_string":"University of Washington - Seattle, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064988079","display_name":"Magdalena Ba\u0142azi\u0144ska","orcid":"https://orcid.org/0000-0002-6805-0325"},"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"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Magdalena Balazinska","raw_affiliation_strings":["University of Washington, Seattle, USA","University of Washington - Seattle, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, USA","institution_ids":["https://openalex.org/I201448701","https://openalex.org/I58610484"]},{"raw_affiliation_string":"University of Washington - Seattle, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007124763","display_name":"Bill Howe","orcid":"https://orcid.org/0000-0001-8588-8472"},"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"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bill Howe","raw_affiliation_strings":["University of Washington, Seattle, USA","University of Washington - Seattle, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, USA","institution_ids":["https://openalex.org/I201448701","https://openalex.org/I58610484"]},{"raw_affiliation_string":"University of Washington - Seattle, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048204602","display_name":"Dan Suciu","orcid":"https://orcid.org/0000-0002-4144-0868"},"institutions":[{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]},{"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":false,"raw_author_name":"Dan Suciu","raw_affiliation_strings":["University of Washington, Seattle, USA","University of Washington - Seattle, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, USA","institution_ids":["https://openalex.org/I201448701","https://openalex.org/I58610484"]},{"raw_affiliation_string":"University of Washington - Seattle, USA","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5040506752"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":6.4017,"has_fulltext":false,"cited_by_count":98,"citation_normalized_percentile":{"value":0.96559824,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"613","last_page":"624"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9854999780654907,"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":0.7785383462905884},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.752662718296051},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.5815268158912659},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.5452764630317688},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.4932181239128113},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3416966199874878},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11927512288093567},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09779006242752075},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.06789723038673401}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7785383462905884},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.752662718296051},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.5815268158912659},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.5452764630317688},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.4932181239128113},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3416966199874878},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11927512288093567},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09779006242752075},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.06789723038673401},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2463676.2465335","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2463676.2465335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.307.6242","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.307.6242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://homes.cs.washington.edu/~magda/papers/koutris-sigmod13.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1457398716","https://openalex.org/W1550473992","https://openalex.org/W2065504152","https://openalex.org/W2102635071","https://openalex.org/W2104106703","https://openalex.org/W2145943173","https://openalex.org/W2156919037","https://openalex.org/W2168402580","https://openalex.org/W2294768397","https://openalex.org/W2399897640","https://openalex.org/W6628469060","https://openalex.org/W6712698574"],"related_works":["https://openalex.org/W2006459955","https://openalex.org/W1819934925","https://openalex.org/W2787993192","https://openalex.org/W4386051213","https://openalex.org/W2158269427","https://openalex.org/W4381280689","https://openalex.org/W2847365777","https://openalex.org/W4310173797","https://openalex.org/W2003932708","https://openalex.org/W2385922226"],"abstract_inverted_index":{"We":[0,80],"develop":[1],"a":[2,12,29,46,83,100],"new":[3],"pricing":[4,10,43,53],"system,":[5,30],"QueryMarket,":[6],"for":[7,45],"flexible":[8],"query":[9,60,108],"in":[11,99],"data":[13],"market":[14],"based":[15],"on":[16,106],"an":[17,36],"earlier":[18],"theoretical":[19],"framework":[20],"(Koutris":[21],"et":[22],"al.,":[23],"PODS":[24],"2012).":[25],"To":[26],"build":[27],"such":[28],"we":[31,58,95],"show":[32],"how":[33],"to":[34,62],"use":[35],"Integer":[37],"Linear":[38],"Programming":[39],"formulation":[40],"of":[41,49],"the":[42,76],"problem":[44],"large":[47],"class":[48],"queries,":[50],"even":[51],"when":[52,66,75,89],"is":[54,78],"computationally":[55],"hard.":[56],"Further,":[57],"leverage":[59],"history":[61],"avoid":[63],"double":[64],"charging":[65],"queries":[67],"purchased":[68],"over":[69],"time":[70],"have":[71],"overlapping":[72],"information,":[73],"or":[74],"database":[77],"updated.":[79],"then":[81],"present":[82],"technique":[84],"that":[85],"fairly":[86],"shares":[87],"revenue":[88],"multiple":[90],"sellers":[91],"are":[92],"involved.":[93],"Finally,":[94],"implement":[96],"our":[97],"approach":[98],"prototype":[101],"and":[102],"evaluate":[103],"its":[104],"performance":[105],"several":[107],"workloads.":[109]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
