{"id":"https://openalex.org/W2014226898","doi":"https://doi.org/10.1145/2424321.2424371","title":"Caching support for skyline query processing with partially-ordered domains","display_name":"Caching support for skyline query processing with partially-ordered domains","publication_year":2012,"publication_date":"2012-11-06","ids":{"openalex":"https://openalex.org/W2014226898","doi":"https://doi.org/10.1145/2424321.2424371","mag":"2014226898"},"language":"en","primary_location":{"id":"doi:10.1145/2424321.2424371","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2424321.2424371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th International Conference on Advances in Geographic Information Systems","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/A5031476537","display_name":"Yu-Ling Hsueh","orcid":"https://orcid.org/0000-0001-9233-614X"},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Ling Hsueh","raw_affiliation_strings":["National Chung Cheng University, Taiwan","[National Chung Cheng University, Taiwan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Chung Cheng University, Taiwan","institution_ids":["https://openalex.org/I148099254"]},{"raw_affiliation_string":"[National Chung Cheng University, Taiwan]","institution_ids":["https://openalex.org/I148099254"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058575315","display_name":"Roger Zimmermann","orcid":"https://orcid.org/0000-0002-7410-2590"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Roger Zimmermann","raw_affiliation_strings":["National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001457193","display_name":"Wei\u2010Shinn Ku","orcid":"https://orcid.org/0000-0001-8636-4689"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei-Shinn Ku","raw_affiliation_strings":["Auburn University","Auburn.University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auburn University","institution_ids":["https://openalex.org/I82497590"]},{"raw_affiliation_string":"Auburn.University","institution_ids":["https://openalex.org/I82497590"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"386","last_page":"389"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":1.0,"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":1.0,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10757","display_name":"Geographic Information Systems Studies","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8694831132888794},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.7097214460372925},{"id":"https://openalex.org/keywords/skyline","display_name":"Skyline","score":0.6851884126663208},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.6291893720626831},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.558070182800293},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.5515017509460449},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5458770394325256},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.5432682037353516},{"id":"https://openalex.org/keywords/spatial-query","display_name":"Spatial query","score":0.528935968875885},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5185209512710571},{"id":"https://openalex.org/keywords/online-aggregation","display_name":"Online aggregation","score":0.5144200921058655},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.48619359731674194},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.47666552662849426},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.46989867091178894},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.439736545085907},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.42531102895736694},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.41714048385620117},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4137102961540222},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3280137777328491},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.2952595055103302},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.13408079743385315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13186144828796387},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07750925421714783}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8694831132888794},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.7097214460372925},{"id":"https://openalex.org/C2780757406","wikidata":"https://www.wikidata.org/wiki/Q465837","display_name":"Skyline","level":2,"score":0.6851884126663208},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.6291893720626831},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.558070182800293},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.5515017509460449},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5458770394325256},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.5432682037353516},{"id":"https://openalex.org/C172722865","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial query","level":5,"score":0.528935968875885},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5185209512710571},{"id":"https://openalex.org/C24028149","wikidata":"https://www.wikidata.org/wiki/Q7094056","display_name":"Online aggregation","level":5,"score":0.5144200921058655},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.48619359731674194},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.47666552662849426},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.46989867091178894},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.439736545085907},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.42531102895736694},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.41714048385620117},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4137102961540222},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3280137777328491},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.2952595055103302},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.13408079743385315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13186144828796387},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07750925421714783},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2424321.2424371","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2424321.2424371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/42208","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/42208","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1193500065","display_name":null,"funder_award_id":"CNS-0831502CNS-0855251","funder_id":"https://openalex.org/F4320337388","funder_display_name":"Division of Computer and Network Systems"},{"id":"https://openalex.org/G6525329292","display_name":null,"funder_award_id":"NSC101-2221-E-194-054","funder_id":"https://openalex.org/F4320321040","funder_display_name":"National Science Council"}],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320337388","display_name":"Division of Computer and Network Systems","ror":"https://ror.org/02rdzmk74"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1580944449","https://openalex.org/W2033933009","https://openalex.org/W2038308590","https://openalex.org/W2096547754","https://openalex.org/W2104550444","https://openalex.org/W2121612399","https://openalex.org/W2124686833","https://openalex.org/W2170188482","https://openalex.org/W6634876484"],"related_works":["https://openalex.org/W3125756434","https://openalex.org/W2096359267","https://openalex.org/W2006459955","https://openalex.org/W203907944","https://openalex.org/W1560919561","https://openalex.org/W2150741898","https://openalex.org/W906795786","https://openalex.org/W2395027054","https://openalex.org/W2110065340","https://openalex.org/W1973282744"],"abstract_inverted_index":{"The":[0,124,168],"results":[1,72],"of":[2,29,41,108,111,117,205],"skyline":[3,184],"queries":[4,43,87,121,185],"performed":[5],"on":[6,14],"data":[7],"sets":[8,175],"with":[9,34,47,73,88,144],"partially-ordered":[10,21],"domains":[11],"vary":[12],"depending":[13],"users'":[15],"preference":[16,90,193],"profiles":[17,91],"specified":[18],"for":[19,44],"the":[20,27,67,106,118,128,145,158,160,172,201],"domains.":[22],"Existing":[23],"work":[24],"has":[25],"addressed":[26],"issue":[28],"handling":[30],"each":[31,116],"individual":[32],"query":[33,71,114,140,152,169,192],"some":[35],"efficiency.":[36],"However,":[37],"processing":[38,141],"large":[39],"volumes":[40],"such":[42],"online":[45],"applications":[46],"low":[48],"response":[49],"time":[50],"is":[51,84,153],"still":[52],"very":[53],"challenging.":[54],"In":[55],"this":[56,82,97],"paper,":[57],"we":[58,99],"introduce":[59,100],"a":[60,101,109,112,150,164],"novel":[61,207],"approach,":[62],"termed":[63],"CSS,":[64],"to":[65,93,115,131,136,199],"reduce":[66],"latency":[68],"by":[69,179,187],"caching":[70],"their":[74],"unique":[75],"user":[76],"preferences.":[77],"Of":[78],"paramount":[79],"importance":[80],"in":[81],"case":[83],"that":[85,104],"cached":[86,120,129],"compatible":[89],"need":[92],"be":[94,132],"utilized.":[95],"For":[96],"purpose,":[98],"similarity":[102,125],"measure":[103,126],"establishes":[105],"level":[107],"relation":[110],"new":[113,151],"previously":[119],"and":[122,176,203],"profiles.":[123,194],"allows":[127],"entries":[130],"effectively":[133],"ordered":[134],"according":[135],"descending":[137],"values;":[138],"hence,":[139],"can":[142],"start":[143],"most":[146],"promising":[147],"candidates.":[148],"If":[149],"only":[154],"partially":[155],"answerable":[156],"from":[157],"cache,":[159],"proposed":[161],"method":[162],"pursues":[163],"second":[165],"optimization":[166],"step.":[167],"processor":[170],"utilizes":[171],"partial":[173],"result":[174],"augments":[177],"them":[178],"performing":[180],"less":[181],"expensive":[182],"constraint":[183,188],"guided":[186],"violations":[189],"between":[190],"different":[191],"Extensive":[195],"experiments":[196],"are":[197],"presented":[198],"demonstrate":[200],"performance":[202],"utility":[204],"our":[206],"approach.":[208]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
