{"id":"https://openalex.org/W2768921037","doi":"https://doi.org/10.1109/geoinformatics.2017.8090926","title":"Organizing large-scale trajectories with adaptive Geohash-tree based on secondo database","display_name":"Organizing large-scale trajectories with adaptive Geohash-tree based on secondo database","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2768921037","doi":"https://doi.org/10.1109/geoinformatics.2017.8090926","mag":"2768921037"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics.2017.8090926","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2017.8090926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th International Conference on Geoinformatics","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/A5112506454","display_name":"Meng Gao","orcid":"https://orcid.org/0000-0003-2422-8328"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Meng Gao","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089044672","display_name":"Longgang Xiang","orcid":"https://orcid.org/0000-0001-9022-6991"},"institutions":[{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longgang Xiang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100574336","display_name":"Jianya Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianya Gong","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112506454"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"],"apc_list":null,"apc_paid":null,"fwci":0.3698,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59187194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"29","issue":null,"first_page":"1","last_page":"6"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9800999760627747,"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"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9733999967575073,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.7600733637809753},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5963236093521118},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.570146918296814},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5343669056892395},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.4943394660949707},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37050318717956543},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08807241916656494},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08711075782775879},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.08611351251602173}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7600733637809753},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5963236093521118},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.570146918296814},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5343669056892395},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4943394660949707},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37050318717956543},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08807241916656494},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08711075782775879},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.08611351251602173},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/geoinformatics.2017.8090926","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2017.8090926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th International Conference on Geoinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1486723877","https://openalex.org/W1590790195","https://openalex.org/W1872366378","https://openalex.org/W2008196645","https://openalex.org/W2055567224","https://openalex.org/W2065663378","https://openalex.org/W2100946521","https://openalex.org/W2115697057","https://openalex.org/W2166183959","https://openalex.org/W2172233159","https://openalex.org/W2322553181","https://openalex.org/W2347255088","https://openalex.org/W2361643893","https://openalex.org/W2367182910","https://openalex.org/W2371665850","https://openalex.org/W2561217093","https://openalex.org/W4289784571","https://openalex.org/W6629065563","https://openalex.org/W6639469420","https://openalex.org/W6666976267"],"related_works":["https://openalex.org/W2348097614","https://openalex.org/W2380716979","https://openalex.org/W2065180665","https://openalex.org/W2461042672","https://openalex.org/W2374348909","https://openalex.org/W2317981192","https://openalex.org/W2394396836","https://openalex.org/W2365333639","https://openalex.org/W2376987262","https://openalex.org/W2358841807"],"abstract_inverted_index":{"Recently,":[0],"driven":[1],"by":[2,77,138],"innovation":[3],"of":[4,13,48,114,117,142,148,156,164,167,182,187],"GPS":[5],"technology,":[6],"mobile":[7],"location-based":[8],"applications":[9],"were":[10],"a":[11,32,41,46,122,140],"development":[12],"blowout.":[14],"Trajectory":[15],"data":[16,30],"which":[17,144],"contains":[18],"mining":[19],"valve":[20],"is":[21,121],"widely":[22],"distributed":[23],"and":[24,35,59,82,159,185,206],"large-scale.":[25],"How":[26],"to":[27,55,67,92,98,102,134],"organize":[28,56],"trajectory":[29,61,72,168],"on":[31,52,111,126],"global":[33],"scale":[34],"support":[36],"efficient":[37],"range":[38,149,204],"queries":[39,101],"becomes":[40],"problem.":[42],"This":[43],"paper":[44],"presents":[45],"framework":[47],"adaptive":[49,94,171],"Geohash-Tree":[50,120,172],"based":[51,125],"Secondo":[53,177],"database":[54],"the":[57,68,78,104,112,115,131,135,146,154,162,213],"worldwide":[58],"large-scale":[60],"dataset.":[62],"In":[63,96],"our":[64,197],"framework,":[65],"according":[66,133],"Geohash":[69,80,87],"code,":[70],"different":[71],"datasets":[73],"will":[74],"be":[75,190],"covered":[76],"deepest":[79],"grid,":[81],"then":[83],"we":[84,107,152],"take":[85],"this":[86],"grid":[88],"as":[89,203],"root":[90],"node":[91],"generate":[93],"Geohash-Tree.":[95],"order":[97],"speed":[99],"up":[100],"locate":[103],"corresponding":[105],"index,":[106],"design":[108,153],"prefix-sharing":[109],"tree":[110],"basis":[113],"feature":[116],"Geohash.":[118],"Adaptive":[119],"spatial":[123],"index":[124],"grid.":[127],"It":[128],"can":[129,189],"divide":[130],"space":[132],"track":[136],"density":[137],"adopting":[139],"variety":[141],"strategies":[143],"improves":[145],"efficiency":[147],"query.":[150],"Meanwhile,":[151],"algorithm":[155],"incremental":[157],"insertion":[158],"update":[160,166],"for":[161],"supporting":[163],"real-time":[165],"data.":[169],"Furthermore,":[170],"has":[173],"been":[174],"migrated":[175],"into":[176],"database.":[178],"By":[179],"taking":[180],"advantage":[181],"database,":[183],"management":[184],"query":[186,205],"trajectories":[188],"easier.":[191],"The":[192],"experiment":[193],"results":[194],"verify":[195],"that":[196],"approach":[198],"in":[199],"several":[200],"aspects":[201],"such":[202],"occupied":[207],"disk":[208],"size":[209],"performs":[210],"better":[211],"than":[212],"commonly":[214],"applied":[215],"R-Tree.":[216]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
