{"id":"https://openalex.org/W3193299075","doi":"https://doi.org/10.1145/3468791.3468799","title":"Subarray Skyline Query Processing in Array Databases","display_name":"Subarray Skyline Query Processing in Array Databases","publication_year":2021,"publication_date":"2021-07-06","ids":{"openalex":"https://openalex.org/W3193299075","doi":"https://doi.org/10.1145/3468791.3468799","mag":"3193299075"},"language":"en","primary_location":{"id":"doi:10.1145/3468791.3468799","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3468791.3468799","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3468791.3468799","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"33rd International Conference on Scientific and Statistical Database Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3468791.3468799","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101533433","display_name":"Dalsu Choi","orcid":"https://orcid.org/0000-0003-2217-2850"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dalsu Choi","raw_affiliation_strings":["Korea University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022585249","display_name":"Hyunsik Yoon","orcid":"https://orcid.org/0000-0002-3659-4379"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hyunsik Yoon","raw_affiliation_strings":["Korea University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060644906","display_name":"Yon Dohn Chung","orcid":"https://orcid.org/0000-0003-2070-5123"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yon Dohn Chung","raw_affiliation_strings":["Korea University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101533433"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6175,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6699933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"37","last_page":"48"},"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":0.9926000237464905,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9842000007629395,"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/skyline","display_name":"Skyline","score":0.8930562734603882},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8254305124282837},{"id":"https://openalex.org/keywords/spatial-query","display_name":"Spatial query","score":0.586107611656189},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.5855606198310852},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5301535725593567},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.48766911029815674},{"id":"https://openalex.org/keywords/spatial-database","display_name":"Spatial database","score":0.46917134523391724},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.46304064989089966},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4176945090293884},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.41318830847740173},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4088427424430847},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.3112655282020569},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.30707305669784546},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.21061038970947266},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.14707133173942566},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.08757591247558594},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07000300288200378}],"concepts":[{"id":"https://openalex.org/C2780757406","wikidata":"https://www.wikidata.org/wiki/Q465837","display_name":"Skyline","level":2,"score":0.8930562734603882},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8254305124282837},{"id":"https://openalex.org/C172722865","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial query","level":5,"score":0.586107611656189},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5855606198310852},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5301535725593567},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.48766911029815674},{"id":"https://openalex.org/C203689450","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial database","level":3,"score":0.46917134523391724},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.46304064989089966},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4176945090293884},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.41318830847740173},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4088427424430847},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.3112655282020569},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.30707305669784546},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.21061038970947266},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.14707133173942566},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.08757591247558594},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07000300288200378},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3468791.3468799","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3468791.3468799","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3468791.3468799","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"33rd International Conference on Scientific and Statistical Database Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3468791.3468799","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3468791.3468799","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3468791.3468799","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"33rd International Conference on Scientific and Statistical Database Management","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2284405421","display_name":null,"funder_award_id":"NRF-2020R1A2C2013286","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G2964929314","display_name":null,"funder_award_id":"IITP-2021-2020-0-01819","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G4863970603","display_name":null,"funder_award_id":"NRF-2020R1A2C2013286","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G731599535","display_name":null,"funder_award_id":"IITP-2021-2020-0-01819","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G7728946940","display_name":null,"funder_award_id":"NRF-2019H1D8A2105513","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G8018065544","display_name":null,"funder_award_id":"2020-0-01819","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3193299075.pdf","grobid_xml":"https://content.openalex.org/works/W3193299075.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1497676489","https://openalex.org/W1595998367","https://openalex.org/W1972933272","https://openalex.org/W1998960889","https://openalex.org/W2015316613","https://openalex.org/W2044762750","https://openalex.org/W2049864887","https://openalex.org/W2092850406","https://openalex.org/W2098338547","https://openalex.org/W2109119832","https://openalex.org/W2118269922","https://openalex.org/W2119885577","https://openalex.org/W2121612399","https://openalex.org/W2170940478","https://openalex.org/W2250335649","https://openalex.org/W2401646429","https://openalex.org/W2409226869","https://openalex.org/W2468496449","https://openalex.org/W2574839832","https://openalex.org/W2791147186","https://openalex.org/W2803985797","https://openalex.org/W2944244546","https://openalex.org/W2954128103","https://openalex.org/W2987147630","https://openalex.org/W6634876484","https://openalex.org/W6680466481"],"related_works":["https://openalex.org/W2371740287","https://openalex.org/W1003283331","https://openalex.org/W2406556739","https://openalex.org/W2395027054","https://openalex.org/W2351171547","https://openalex.org/W2011795509","https://openalex.org/W2110065340","https://openalex.org/W4242370757","https://openalex.org/W906795786","https://openalex.org/W2003701127"],"abstract_inverted_index":{"With":[0],"the":[1,22,70,129],"generation":[2],"of":[3,21,24,41,49,78],"large-scale":[4],"spatial":[5,26],"data":[6],"in":[7,30,53,106],"various":[8],"fields,":[9],"array":[10,17,32,116],"databases":[11],"that":[12,82,123],"represent":[13],"space":[14],"as":[15],"an":[16,31,100,115],"have":[18],"become":[19],"one":[20,37],"means":[23],"managing":[25],"data.":[27],"Each":[28],"cell":[29,59],"tends":[33],"to":[34,64,86],"interact":[35],"with":[36],"another;":[38],"therefore,":[39],"instead":[40],"considering":[42,46,95],"a":[43,47,75,84],"single":[44],"cell,":[45],"concept":[48],"subarray":[50,80],"is":[51],"required":[52],"some":[54],"applications.":[55],"In":[56],"addition,":[57],"each":[58],"has":[60,125],"several":[61],"attribute":[62],"values":[63],"indicate":[65],"its":[66],"features.":[67],"Based":[68],"on":[69],"two":[71],"observations,":[72],"we":[73,121],"propose":[74],"new":[76],"type":[77],"query,":[79],"skyline,":[81],"provides":[83],"way":[85],"find":[87],"meaningful":[88,93],"subarrays":[89,94],"or":[90],"filter":[91],"less":[92],"attributes.":[96],"We":[97],"also":[98],"introduce":[99],"efficient":[101],"query":[102],"processing":[103],"method,":[104],"ReSKY,":[105],"centralized":[107],"and":[108,118],"distributed":[109],"settings.":[110],"Through":[111],"extensive":[112],"experiments":[113],"using":[114],"database":[117],"real":[119],"datasets,":[120],"show":[122],"ReSKY":[124],"better":[126],"performance":[127],"than":[128],"existing":[130],"techniques.":[131]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}