{"id":"https://openalex.org/W4413076774","doi":"https://doi.org/10.1186/s40537-025-01213-7","title":"The method for approximate continuous Skyline query based on privacy protection in road network","display_name":"The method for approximate continuous Skyline query based on privacy protection in road network","publication_year":2025,"publication_date":"2025-07-17","ids":{"openalex":"https://openalex.org/W4413076774","doi":"https://doi.org/10.1186/s40537-025-01213-7"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-025-01213-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01213-7","pdf_url":"https://link.springer.com/content/pdf/10.1186/s40537-025-01213-7.pdf","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1186/s40537-025-01213-7.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101575549","display_name":"Song Li","orcid":"https://orcid.org/0000-0003-4456-2040"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Song Li","raw_affiliation_strings":["School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021843263","display_name":"Xiao\u2010Long Yang","orcid":"https://orcid.org/0000-0002-0932-6889"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Yang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100721043","display_name":"Liping Zhang","orcid":"https://orcid.org/0000-0003-2463-1846"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liping Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003433241","display_name":"Guanglu Sun","orcid":"https://orcid.org/0000-0003-2589-1164"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanglu Sun","raw_affiliation_strings":["School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101575549"],"corresponding_institution_ids":["https://openalex.org/I100188998"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":1.239,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.81204044,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"12","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9997000098228455,"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":0.9997000098228455,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9836999773979187,"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"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/skyline","display_name":"Skyline","score":0.9058165550231934},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8491731286048889},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"Privacy protection","score":0.6789621114730835},{"id":"https://openalex.org/keywords/computational-science-and-engineering","display_name":"Computational Science and Engineering","score":0.47017019987106323},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.39678698778152466},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3573033809661865},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09390527009963989}],"concepts":[{"id":"https://openalex.org/C2780757406","wikidata":"https://www.wikidata.org/wiki/Q465837","display_name":"Skyline","level":2,"score":0.9058165550231934},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8491731286048889},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.6789621114730835},{"id":"https://openalex.org/C68597687","wikidata":"https://www.wikidata.org/wiki/Q362601","display_name":"Computational Science and Engineering","level":2,"score":0.47017019987106323},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.39678698778152466},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3573033809661865},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09390527009963989}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-025-01213-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01213-7","pdf_url":"https://link.springer.com/content/pdf/10.1186/s40537-025-01213-7.pdf","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:76eb9484207e4e2fb97cfaf086ceb262","is_oa":true,"landing_page_url":"https://doaj.org/article/76eb9484207e4e2fb97cfaf086ceb262","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 12, Iss 1, Pp 1-31 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-025-01213-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01213-7","pdf_url":"https://link.springer.com/content/pdf/10.1186/s40537-025-01213-7.pdf","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G4577689320","display_name":null,"funder_award_id":"62072136","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4710790057","display_name":null,"funder_award_id":"2020YFB1710200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8199206254","display_name":null,"funder_award_id":"2020YFB1710200","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320317323","display_name":"Key Research and Development Program of Heilongjiang","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413076774.pdf"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1504573138","https://openalex.org/W2110261118","https://openalex.org/W2133246588","https://openalex.org/W2149048528","https://openalex.org/W2160080073","https://openalex.org/W2505824318","https://openalex.org/W2611402630","https://openalex.org/W3037247414","https://openalex.org/W3097214897","https://openalex.org/W3207363510","https://openalex.org/W4206701711","https://openalex.org/W4285171050","https://openalex.org/W4288070809","https://openalex.org/W4295796801","https://openalex.org/W4298003942","https://openalex.org/W4312370400","https://openalex.org/W4312442313","https://openalex.org/W4367022549","https://openalex.org/W4385478836","https://openalex.org/W4386293793","https://openalex.org/W4388792883","https://openalex.org/W4392607769","https://openalex.org/W4395069641","https://openalex.org/W4396845238"],"related_works":["https://openalex.org/W1994126304","https://openalex.org/W2087306197","https://openalex.org/W1973297295","https://openalex.org/W2316530548","https://openalex.org/W2505069962","https://openalex.org/W3096764880","https://openalex.org/W2039842051","https://openalex.org/W2317048282","https://openalex.org/W1580710993","https://openalex.org/W4403547452"],"abstract_inverted_index":{"Existing":[0],"road":[1,29,183],"network":[2,30,184],"continuous":[3,43,119,131,144,151,179,203],"Skyline":[4,23,44,132,180],"queries":[5,181,205],"often":[6],"neglect":[7],"user":[8,53,140],"location":[9,54,81,192],"privacy":[10,13,55,141,157,176],"and":[11,56,161,170,193],"data":[12,57,156,194],"protection.":[14,158],"This":[15],"paper":[16],"proposes":[17],"a":[18,40,65,90,101,148,198],"method":[19,95,99,122],"for":[20,75,178,201],"Approximate":[21,68,88,93],"Continuous":[22],"Query":[24],"with":[25],"Privacy":[26],"Protection":[27],"in":[28,143,175,182],"(ACPP)":[31],"environments":[32],"to":[33,116,206],"address":[34,136],"these":[35],"issues.":[36],"ACPP":[37,60,146,166,196],"efficiently":[38],"generates":[39],"privacy-preserving":[41,202],"approximate":[42,130],"query":[45,73,76,133],"result":[46],"set,":[47],"ensuring":[48],"the":[49,62,85,129,137,188],"protection":[50,152,177],"of":[51,64,139,191],"both":[52,168],"privacy.":[58,82],"Firstly,":[59],"introduces":[61,147],"construction":[63],"Public":[66,86,91],"Secure":[67,87,92],"Area":[69],"as":[70],"an":[71,109],"anonymous":[72],"area":[74],"points,":[77],"thereby":[78],"safeguarding":[79],"their":[80],"Based":[83],"on":[84],"Area,":[89],"Dominance":[94],"is":[96,167],"proposed.":[97],"The":[98,121],"leverages":[100],"novel":[102],"PWDG-Tree":[103],"indexing":[104],"structure.":[105],"It":[106,126],"also":[107],"uses":[108],"associated":[110],"filtering":[111],"algorithm.":[112],"These":[113],"tools":[114],"help":[115],"swiftly":[117],"process":[118],"queries.":[120],"minimizes":[123],"redundant":[124],"computations.":[125],"rapidly":[127],"yields":[128],"results.":[134],"To":[135],"issue":[138],"leakage":[142],"queries,":[145],"differential":[149],"privacy-based":[150],"method,":[153],"further":[154,208],"enhancing":[155],"Theoretical":[159],"analysis":[160],"experimental":[162],"results":[163],"indicate":[164],"that":[165],"efficient":[169],"practical,":[171],"offering":[172],"significant":[173],"improvements":[174],"environments.":[185],"By":[186],"addressing":[187],"dual":[189],"issues":[190],"privacy,":[195],"provides":[197],"viable":[199],"solution":[200],"skyline":[204],"aid":[207],"research":[209],"efforts.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}