{"id":"https://openalex.org/W2140894345","doi":"https://doi.org/10.1145/1206049.1206054","title":"Optimizing top-k queries for middleware access","display_name":"Optimizing top-k queries for middleware access","publication_year":2007,"publication_date":"2007-03-01","ids":{"openalex":"https://openalex.org/W2140894345","doi":"https://doi.org/10.1145/1206049.1206054","mag":"2140894345"},"language":"en","primary_location":{"id":"doi:10.1145/1206049.1206054","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1206049.1206054","pdf_url":null,"source":{"id":"https://openalex.org/S90119964","display_name":"ACM Transactions on Database Systems","issn_l":"0362-5915","issn":["0362-5915","1557-4644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Database Systems","raw_type":"journal-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/A5101567750","display_name":"Seung-won Hwang","orcid":null},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seung-won Hwang","raw_affiliation_strings":["Pohang University of Science and Technology, Gyungbuk, Korea","[Pohang University of Science and Technology, Gyungbuk, Korea]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology, Gyungbuk, Korea","institution_ids":["https://openalex.org/I123900574"]},{"raw_affiliation_string":"[Pohang University of Science and Technology, Gyungbuk, Korea]","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101880377","display_name":"Kevin Chen\u2013Chuan Chang","orcid":"https://orcid.org/0000-0003-0997-6803"},"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":false,"raw_author_name":"Kevin Chen-chuan Chang","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL","[University of Illinois at Urbana-Champaign,Urbana,IL]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"[University of Illinois at Urbana-Champaign,Urbana,IL]","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9642,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.77233883,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"32","issue":"1","first_page":"5","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9995999932289124,"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/T12288","display_name":"Optimization and Search Problems","score":0.9941999912261963,"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":0.894162654876709},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.6104826927185059},{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.5597088932991028},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5531050562858582},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5220534801483154},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.4788220524787903},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.42593422532081604},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.30251947045326233}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.894162654876709},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.6104826927185059},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.5597088932991028},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5531050562858582},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5220534801483154},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.4788220524787903},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.42593422532081604},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.30251947045326233},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1206049.1206054","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1206049.1206054","pdf_url":null,"source":{"id":"https://openalex.org/S90119964","display_name":"ACM Transactions on Database Systems","issn_l":"0362-5915","issn":["0362-5915","1557-4644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Database Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1488719427","https://openalex.org/W1495105959","https://openalex.org/W1835538174","https://openalex.org/W1850437073","https://openalex.org/W2018177083","https://openalex.org/W2083039049","https://openalex.org/W2099797738","https://openalex.org/W2133900260","https://openalex.org/W2134206624","https://openalex.org/W2141649964","https://openalex.org/W2148322068","https://openalex.org/W2149328866","https://openalex.org/W2153329411","https://openalex.org/W2160967997","https://openalex.org/W2164520297","https://openalex.org/W2666600683"],"related_works":["https://openalex.org/W2573939812","https://openalex.org/W2120098008","https://openalex.org/W2898886863","https://openalex.org/W1639806124","https://openalex.org/W2902831276","https://openalex.org/W2165259096","https://openalex.org/W2540682188","https://openalex.org/W4385834214","https://openalex.org/W3022423983","https://openalex.org/W12347151"],"abstract_inverted_index":{"This":[0],"article":[1],"studies":[2],"optimizing":[3],"top-":[4,194,214,228],"k":[5,195,215,229],"queries":[6,101,170,196,216],"in":[7],"middlewares.":[8],"While":[9,91],"many":[10],"assorted":[11],"algorithms":[12,28,144,258],"have":[13,199],"been":[14,95,107],"proposed,":[15],"none":[16],"is":[17,73],"generally":[18],"applicable":[19],"to":[20,33,45,84,135,145,164,220],"a":[21,35,59,67,76,126,137,153,157,179,222],"wide":[22,36,77],"range":[23,37,78],"of":[24,38,69,79,123,175,184,186,213],"possible":[25],"scenarios.":[26,263],"Existing":[27],"lack":[29],"both":[30],"the":[31,42,85,121,130,149,210,242],"\u201cgenerality\u201d":[32],"support":[34],"access":[39,80,87],"scenarios":[40],"and":[41,119,152,224],"systematic":[43],"\u201cadaptivity\u201d":[44],"account":[46],"for":[47,97,99,110,227,240,261],"runtime":[48,64],"specifics.":[49],"To":[50],"fulfill":[51],"this":[52,114],"critical":[53],"lacking,":[54],"we":[55,116,133],"aim":[56],"at":[57,89],"taking":[58],"cost-based":[60,71],"optimization":[61,72,93],"approach:":[62],"By":[63],"search":[65,146,235],"over":[66,237],"space":[68,139,158,226,239],"algorithms,":[70],"general":[74],"across":[75],"scenarios,":[81],"yet":[82],"adaptive":[83],"specific":[86],"costs":[88],"runtime.":[90],"such":[92,125,156,178,203,238],"has":[94,106],"taken":[96],"granted":[98],"relational":[100,176,187,205],"from":[102],"early":[103],"on,":[104],"it":[105],"clearly":[108],"lacking":[109],"ranked":[111],"queries.":[112,230],"In":[113,192],"article,":[115],"thus":[117,208],"identify":[118,221],"address":[120],"barriers":[122],"realizing":[124],"unified":[127],"framework.":[128],"As":[129,148],"first":[131],"barrier,":[132],"need":[134],"define":[136,209],"\u201ccomprehensive\u201d":[138],"encompassing":[140],"all":[141],"possibly":[142],"optimal":[143,243],"over.":[147],"second":[150],"barrier":[151],"conflicting":[154],"goal,":[155],"should":[159],"also":[160,255],"be":[161],"\u201cfocused\u201d":[162],"enough":[163],"enable":[165],"efficient":[166,234],"search.":[167],"For":[168],"SQL":[169],"that":[171,248],"are":[172],"explicitly":[173],"composed":[174],"operators,":[177],"space,":[180],"by":[181],"definition,":[182],"consists":[183],"schedules":[185],"operators":[188],"(or":[189],"\u201cquery":[190],"plans\u201d).":[191],"contrast,":[193],"do":[197],"not":[198,251],"logical":[200,211],"tasks":[201,212],",":[202],"as":[204,217],"operators.":[206],"We":[207,231],"building":[218],"blocks":[219],"comprehensive":[223],"focused":[225],"then":[232],"develop":[233],"schemes":[236],"identifying":[241],"algorithm.":[244],"Our":[245],"study":[246],"indicates":[247],"our":[249],"framework":[250],"only":[252],"unifies,":[253],"but":[254],"outperforms":[256],"existing":[257],"specifically":[259],"designed":[260],"their":[262]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
