{"id":"https://openalex.org/W2914826592","doi":"https://doi.org/10.1145/3402904","title":"GeoMatch","display_name":"GeoMatch","publication_year":2020,"publication_date":"2020-08-31","ids":{"openalex":"https://openalex.org/W2914826592","doi":"https://doi.org/10.1145/3402904","mag":"2914826592"},"language":"en","primary_location":{"id":"doi:10.1145/3402904","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3402904","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3402904","source":{"id":"https://openalex.org/S4210185969","display_name":"ACM/IMS Transactions on Data Science","issn_l":"2577-3224","issn":["2577-3224","2691-1922"],"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/IMS Transactions on Data Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3402904","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029674856","display_name":"Ayman Zeidan","orcid":"https://orcid.org/0000-0002-2881-5047"},"institutions":[{"id":"https://openalex.org/I121847817","display_name":"The Graduate Center, CUNY","ror":"https://ror.org/00awd9g61","country_code":"US","type":"education","lineage":["https://openalex.org/I121847817"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ayman Zeidan","raw_affiliation_strings":["Department of Computer Science, CUNY Graduate Center, New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, CUNY Graduate Center, New York, NY, USA","institution_ids":["https://openalex.org/I121847817"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090902995","display_name":"Eemil Lagerspetz","orcid":"https://orcid.org/0000-0003-3875-8135"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Eemil Lagerspetz","raw_affiliation_strings":["Department of Computer Science, University of Helsinki, Helsinki, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101481095","display_name":"Kai Zhao","orcid":"https://orcid.org/0000-0003-1040-0211"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kai Zhao","raw_affiliation_strings":["Robinson College of Business, Georgia State University, Atlanta Georgia, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robinson College of Business, Georgia State University, Atlanta Georgia, GA, USA","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066542585","display_name":"Petteri Nurmi","orcid":"https://orcid.org/0000-0001-8262-6434"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Petteri Nurmi","raw_affiliation_strings":["Department of Computer Science, University of Helsinki, Helsinki, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054443906","display_name":"Sasu Tarkoma","orcid":"https://orcid.org/0000-0003-4220-3650"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Sasu Tarkoma","raw_affiliation_strings":["Department of Computer Science, University of Helsinki, Helsinki, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064720873","display_name":"Huy T. Vo","orcid":"https://orcid.org/0000-0002-5963-6615"},"institutions":[{"id":"https://openalex.org/I125687163","display_name":"City College of New York","ror":"https://ror.org/00wmhkr98","country_code":"US","type":"education","lineage":["https://openalex.org/I125687163"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huy T. Vo","raw_affiliation_strings":["Department of Computer Science, CUNY City College, New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, CUNY City College, New York, NY, USA","institution_ids":["https://openalex.org/I125687163"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5072,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.64026886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1","issue":"3","first_page":"1","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/computer-science","display_name":"Computer science","score":0.804010272026062},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6964644193649292},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6482576131820679},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6122179627418518},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5243185758590698},{"id":"https://openalex.org/keywords/map-matching","display_name":"Map matching","score":0.5144734382629395},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47933873534202576},{"id":"https://openalex.org/keywords/space-partitioning","display_name":"Space partitioning","score":0.4639890193939209},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.4568342864513397},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4117893576622009},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.329704225063324},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2876529097557068},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13771936297416687},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.10568976402282715}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.804010272026062},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6964644193649292},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6482576131820679},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6122179627418518},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5243185758590698},{"id":"https://openalex.org/C2778559875","wikidata":"https://www.wikidata.org/wiki/Q1892023","display_name":"Map matching","level":3,"score":0.5144734382629395},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47933873534202576},{"id":"https://openalex.org/C13670688","wikidata":"https://www.wikidata.org/wiki/Q3500548","display_name":"Space partitioning","level":2,"score":0.4639890193939209},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.4568342864513397},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4117893576622009},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.329704225063324},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2876529097557068},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13771936297416687},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.10568976402282715},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3402904","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3402904","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3402904","source":{"id":"https://openalex.org/S4210185969","display_name":"ACM/IMS Transactions on Data Science","issn_l":"2577-3224","issn":["2577-3224","2691-1922"],"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/IMS Transactions on Data Science","raw_type":"journal-article"},{"id":"pmh:oai:helda.helsinki.fi:10138/325827","is_oa":true,"landing_page_url":"http://hdl.handle.net/10138/325827","pdf_url":"http://hdl.handle.net/10138/325827","source":{"id":"https://openalex.org/S4210213322","display_name":"Ty\u00f6v\u00e4entutkimus Vuosikirja","issn_l":"0784-1272","issn":["0784-1272","1459-7780"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1145/3402904","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3402904","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3402904","source":{"id":"https://openalex.org/S4210185969","display_name":"ACM/IMS Transactions on Data Science","issn_l":"2577-3224","issn":["2577-3224","2691-1922"],"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/IMS Transactions on Data Science","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8399999737739563}],"awards":[{"id":"https://openalex.org/G1595963390","display_name":"PFI-RP: Smart and Accessible Transportation Hub for Assistive Navigation and Facility Management","funder_award_id":"1827505","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306151","display_name":"Alfred P. Sloan Foundation","ror":"https://ror.org/052csg198"},{"id":"https://openalex.org/F4320318839","display_name":"T\u1eadp \u0111o\u00e0n Vingroup - C\u00f4ng ty CP","ror":null},{"id":"https://openalex.org/F4320328994","display_name":"Qu\u1ef9 \u0110\u1ed5i m\u1edbi s\u00e1ng t\u1ea1o Vingroup","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2914826592.pdf","grobid_xml":"https://content.openalex.org/works/W2914826592.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1505133516","https://openalex.org/W1633157623","https://openalex.org/W1988580225","https://openalex.org/W2004312731","https://openalex.org/W2008286666","https://openalex.org/W2025766355","https://openalex.org/W2031674781","https://openalex.org/W2065820792","https://openalex.org/W2083923249","https://openalex.org/W2101823987","https://openalex.org/W2104790370","https://openalex.org/W2106251367","https://openalex.org/W2115583184","https://openalex.org/W2136975357","https://openalex.org/W2166771065","https://openalex.org/W2171330332","https://openalex.org/W2171419575","https://openalex.org/W2295338537","https://openalex.org/W2436533802","https://openalex.org/W2547992514","https://openalex.org/W2548613432","https://openalex.org/W2593167524","https://openalex.org/W2889201433","https://openalex.org/W2899897827","https://openalex.org/W4292081072"],"related_works":["https://openalex.org/W3015859229","https://openalex.org/W2369446480","https://openalex.org/W2230552005","https://openalex.org/W1975949872","https://openalex.org/W3159871278","https://openalex.org/W2905242764","https://openalex.org/W2799508461","https://openalex.org/W4318570812","https://openalex.org/W2362624782","https://openalex.org/W2785433758"],"abstract_inverted_index":{"We":[0,69,94,136],"develop":[1,105],"GeoMatch":[2,18,41,55,74,143,149],"as":[3],"a":[4,26,58,106],"novel,":[5],"scalable,":[6],"and":[7,50,77,99,104,150],"efficient":[8],"big-data":[9,22],"pipeline":[10],"for":[11,109],"large-scale":[12,83,111],"map":[13,102,112],"matching":[14,103],"on":[15],"Apache":[16],"Spark.":[17],"improves":[19],"existing":[20],"spatial":[21,28,85],"solutions":[23],"by":[24,32],"utilizing":[25],"novel":[27],"partitioning":[29,39],"scheme":[30],"inspired":[31],"Hilbert":[33],"space-filling":[34],"curves.":[35],"Thanks":[36],"to":[37,90,120,125],"its":[38],"scheme,":[40],"can":[42],"effectively":[43],"balance":[44],"operations":[45],"across":[46],"different":[47],"processing":[48,131],"units":[49],"achieve":[51],"significant":[52],"performance":[53,98,122],"gains.":[54],"also":[56,137],"incorporates":[57],"dynamically":[59],"adjustable":[60],"error-correction":[61],"technique":[62],"that":[63,81],"provides":[64],"robustness":[65],"against":[66],"positioning":[67],"errors.":[68],"demonstrate":[70],"the":[71,139],"effectiveness":[72],"of":[73,101,115,142],"through":[75],"rigorous":[76],"extensive":[78],"empirical":[79],"benchmarks":[80],"consider":[82],"urban":[84,146],"datasets":[86],"ranging":[87],"from":[88],"166,253":[89],"3.78B":[91],"location":[92],"measurements.":[93],"separately":[95],"assess":[96],"execution":[97],"accuracy":[100,132],"benchmark":[107,152],"framework":[108,153],"evaluating":[110],"matching.":[113],"Results":[114],"our":[116,151],"evaluation":[117],"show":[118],"up":[119],"27.25-fold":[121],"improvements":[123],"compared":[124],"previous":[126],"works":[127],"while":[128],"achieving":[129],"better":[130],"than":[133],"current":[134],"solutions.":[135],"showcase":[138],"practical":[140],"potential":[141],"with":[144],"two":[145],"management":[147],"applications.":[148],"are":[154],"open-source.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2019-02-21T00:00:00"}
