{"id":"https://openalex.org/W2084631203","doi":"https://doi.org/10.1145/1999320.1999334","title":"Efficient evaluation of location-dependent skyline queries using non-dominance scopes","display_name":"Efficient evaluation of location-dependent skyline queries using non-dominance scopes","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2084631203","doi":"https://doi.org/10.1145/1999320.1999334","mag":"2084631203"},"language":"en","primary_location":{"id":"doi:10.1145/1999320.1999334","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1999320.1999334","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Computing for Geospatial Research & Applications - COM.Geo '11","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/A5083908579","display_name":"Ken C. K. Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I100633361","display_name":"University of Massachusetts Dartmouth","ror":"https://ror.org/00fzmm222","country_code":"US","type":"education","lineage":["https://openalex.org/I100633361"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ken C. K. Lee","raw_affiliation_strings":["University of Massachusetts Dartmouth, North Dartmouth, MA","University of Massachusetts, Dartmouth, North Dartmouth, MA#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts Dartmouth, North Dartmouth, MA","institution_ids":["https://openalex.org/I100633361"]},{"raw_affiliation_string":"University of Massachusetts, Dartmouth, North Dartmouth, MA#TAB#","institution_ids":["https://openalex.org/I100633361"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5083908579"],"corresponding_institution_ids":["https://openalex.org/I100633361"],"apc_list":null,"apc_paid":null,"fwci":0.3062,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.55199947,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9923999905586243,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9908999800682068,"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/skyline","display_name":"Skyline","score":0.9369951486587524},{"id":"https://openalex.org/keywords/dominance","display_name":"Dominance (genetics)","score":0.737110435962677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6869933605194092},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5017516613006592},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.473202645778656},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45017290115356445},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36961525678634644},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3514593243598938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22968971729278564},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06097447872161865}],"concepts":[{"id":"https://openalex.org/C2780757406","wikidata":"https://www.wikidata.org/wiki/Q465837","display_name":"Skyline","level":2,"score":0.9369951486587524},{"id":"https://openalex.org/C151913843","wikidata":"https://www.wikidata.org/wiki/Q3454555","display_name":"Dominance (genetics)","level":3,"score":0.737110435962677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6869933605194092},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5017516613006592},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.473202645778656},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45017290115356445},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36961525678634644},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3514593243598938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22968971729278564},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06097447872161865},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1999320.1999334","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1999320.1999334","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Computing for Geospatial Research & Applications - COM.Geo '11","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1580944449","https://openalex.org/W1966844011","https://openalex.org/W1967005434","https://openalex.org/W1990111898","https://openalex.org/W1992963068","https://openalex.org/W2028930153","https://openalex.org/W2046144220","https://openalex.org/W2057461316","https://openalex.org/W2076287166","https://openalex.org/W2077110411","https://openalex.org/W2096547754","https://openalex.org/W2110105893","https://openalex.org/W2110529497","https://openalex.org/W2113295349","https://openalex.org/W2121612399","https://openalex.org/W2134644026","https://openalex.org/W2136445928","https://openalex.org/W2140977160","https://openalex.org/W2170188482"],"related_works":["https://openalex.org/W2023608319","https://openalex.org/W2331788134","https://openalex.org/W2727889391","https://openalex.org/W2896609224","https://openalex.org/W2905458094","https://openalex.org/W2065676484","https://openalex.org/W2331653917","https://openalex.org/W4311154768","https://openalex.org/W3009147976","https://openalex.org/W2133623058"],"abstract_inverted_index":{"With":[0,154],"respect":[1],"to":[2,35,72,85,100,173],"a":[3,8,25,127,135],"given":[4],"query":[5,11,116,143,168],"point":[6],"q,":[7],"location-dependent":[9],"skyline":[10],"(LDSQ)":[12],"finds":[13],"all":[14,48],"objects":[15,104,163],"that":[16,83],"are":[17,158],"not":[18,43,148],"spatially":[19,36,149],"dominated":[20,150],"by":[21,151],"any":[22],"other":[23,152],"in":[24,105,112,141],"specified":[26],"set":[27],"of":[28,60,95,129,197],"objects.":[29,91,153],"An":[30],"object":[31,147],"o":[32,41],"is":[33,42,138],"considered":[34],"dominate":[37],"another":[38],"o'":[39,46,55],"if":[40],"worse":[44],"than":[45,54],"for":[47,56,162],"search":[49,62,66],"criteria":[50,67],"and":[51,74,89,177],"strictly":[52],"better":[53],"at":[57,118],"least":[58],"one":[59],"the":[61,65,69,87,119,146,194],"criteria.":[63],"Here,":[64],"include":[68],"objects'":[70],"nearness":[71],"q":[73],"their":[75,107],"non-spatial":[76],"attributes.":[77],"LDSQs":[78,96,157,179],"have":[79],"many":[80],"valuable":[81],"applications":[82],"need":[84],"find":[86,145],"best":[88],"nearest":[90],"Nevertheless,":[92],"efficient":[93],"evaluation":[94],"faces":[97],"challenges":[98],"due":[99],"exhaustive":[101],"comparisons":[102],"among":[103],"determining":[106],"spatial":[108],"dominance":[109],"relationships":[110],"which":[111,142],"turn":[113],"depend":[114],"on":[115],"points":[117,144],"run":[120],"time.":[121],"In":[122],"this":[123],"paper,":[124],"we":[125],"introduce":[126],"notion":[128],"non-dominance":[130,136,155,165,175,182],"scopes.":[131,183],"For":[132],"each":[133],"object,":[134],"scope":[137],"an":[139],"area":[140],"scopes,":[156],"simplified":[159],"as":[160],"searches":[161],"whose":[164],"scopes":[166,176],"enclose":[167],"points.":[169],"We":[170,184],"develop":[171],"algorithms":[172],"compute":[174],"evaluate":[178,186],"using":[180],"indexed":[181],"also":[185],"our":[187,198],"proposed":[188,199],"approach.":[189,200],"The":[190],"experiment":[191],"results":[192],"show":[193],"outstanding":[195],"performance":[196]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}