{"id":"https://openalex.org/W2520086143","doi":"https://doi.org/10.1145/2938503.2938532","title":"Visual Spatial-OLAP for Vehicle Recorder Data on Micro-sized Electric Vehicles","display_name":"Visual Spatial-OLAP for Vehicle Recorder Data on Micro-sized Electric Vehicles","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2520086143","doi":"https://doi.org/10.1145/2938503.2938532","mag":"2520086143"},"language":"en","primary_location":{"id":"doi:10.1145/2938503.2938532","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2938503.2938532","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 Database Engineering &amp; Applications Symposium on - IDEAS '16","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/A5047823141","display_name":"Takahiro Komamizu","orcid":"https://orcid.org/0000-0002-3041-4330"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Komamizu","raw_affiliation_strings":["University of Tsukuba, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025604052","display_name":"Toshiyuki Amagasa","orcid":"https://orcid.org/0000-0003-0595-2230"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshiyuki Amagasa","raw_affiliation_strings":["University of Tsukuba, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064322519","display_name":"Hiroyuki Kitagawa","orcid":"https://orcid.org/0000-0002-2984-2258"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroyuki Kitagawa","raw_affiliation_strings":["University of Tsukuba, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I146399215"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"358","last_page":"363"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998000264167786,"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":0.9998000264167786,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9991000294685364,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/online-analytical-processing","display_name":"Online analytical processing","score":0.840095043182373},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7411593198776245},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7386354207992554},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6386350393295288},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6029639840126038},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5505070686340332},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.44016867876052856},{"id":"https://openalex.org/keywords/multidimensional-data","display_name":"Multidimensional data","score":0.4187110662460327},{"id":"https://openalex.org/keywords/data-logger","display_name":"Data logger","score":0.4149530231952667},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.38406604528427124},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.323375940322876},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3169347047805786},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.2342642843723297},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08470973372459412}],"concepts":[{"id":"https://openalex.org/C201932085","wikidata":"https://www.wikidata.org/wiki/Q642514","display_name":"Online analytical processing","level":3,"score":0.840095043182373},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7411593198776245},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7386354207992554},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6386350393295288},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6029639840126038},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5505070686340332},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.44016867876052856},{"id":"https://openalex.org/C3019022308","wikidata":"https://www.wikidata.org/wiki/Q1418353","display_name":"Multidimensional data","level":2,"score":0.4187110662460327},{"id":"https://openalex.org/C159234332","wikidata":"https://www.wikidata.org/wiki/Q1172468","display_name":"Data logger","level":2,"score":0.4149530231952667},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.38406604528427124},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.323375940322876},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3169347047805786},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.2342642843723297},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08470973372459412},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2938503.2938532","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2938503.2938532","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 Database Engineering &amp; Applications Symposium on - IDEAS '16","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1503398984","https://openalex.org/W1550669880","https://openalex.org/W1605324722","https://openalex.org/W1756966286","https://openalex.org/W1994414501","https://openalex.org/W2010173932","https://openalex.org/W2020889870","https://openalex.org/W2025531600","https://openalex.org/W2047307657","https://openalex.org/W2063989480","https://openalex.org/W2091940856","https://openalex.org/W2109964095","https://openalex.org/W2113888164","https://openalex.org/W2127628926","https://openalex.org/W2129156977","https://openalex.org/W2131229871","https://openalex.org/W2139103617","https://openalex.org/W2146635036","https://openalex.org/W2153940791","https://openalex.org/W2210119327","https://openalex.org/W2212033546"],"related_works":["https://openalex.org/W2354769873","https://openalex.org/W2108441106","https://openalex.org/W2082818344","https://openalex.org/W1854166360","https://openalex.org/W2169468489","https://openalex.org/W2378540675","https://openalex.org/W2886550023","https://openalex.org/W2265286071","https://openalex.org/W2379998153","https://openalex.org/W2349376365"],"abstract_inverted_index":{"Analyzing":[0],"vehicle":[1,25,33,106],"recorder":[2,26,34,107],"data":[3,27,35,50,108,150],"of":[4,36,41,85,95,109],"electric":[5],"vehicles":[6],"(EVs)":[7],"reveals":[8],"how":[9],"the":[10,30,55,77,81,93,96,103,136,142,148],"EVs":[11,111,117],"are":[12,115],"used.":[13],"This":[14],"paper":[15],"proposes":[16],"an":[17],"OLAP":[18,86],"framework":[19,31,39,82,97,104,143],"to":[20,32,105],"support":[21],"analyzing":[22,54],"trajectories":[23],"in":[24],"and":[28,45,51,65,126],"applies":[29],"EVs.":[37],"The":[38,57,138],"consists":[40],"ETL":[42,58],"(extract,":[43],"transform,":[44],"load)":[46],"process":[47,59],"for":[48,53,63,73,98,151],"trajectory":[49,74,149],"visualization":[52,79],"data.":[56,75],"includes":[60],"hierarchy":[61],"definitions":[62],"spatial":[64],"temporal":[66],"dimensions,":[67],"as":[68,70],"well":[69],"aggregation":[71],"functions":[72],"In":[76],"subsequent":[78],"phase,":[80],"displays":[83],"results":[84],"operations":[87],"on":[88,135,147],"map":[89],"interface.":[90],"To":[91],"ensure":[92],"applicability":[94],"real":[99,152],"applications,":[100],"we":[101],"apply":[102],"micro-sized":[110],"(or":[112],"\u03bcEVs),":[113],"which":[114],"smaller":[116],"with":[118],"one":[119,124],"or":[120],"two":[121],"passengers":[122],"including":[123],"driver":[125],"can":[127],"drive":[128],"at":[129],"most":[130],"100km":[131],"distance":[132],"without":[133],"charging":[134],"way.":[137],"application":[139],"realizes":[140],"that":[141],"successfully":[144],"enables":[145],"analyses":[146],"analytic":[153],"requirements.":[154]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
