{"id":"https://openalex.org/W2087341942","doi":"https://doi.org/10.1109/icde.2014.6816738","title":"Parallel SECONDO: A practical system for large-scale processing of moving objects","display_name":"Parallel SECONDO: A practical system for large-scale processing of moving objects","publication_year":2014,"publication_date":"2014-03-01","ids":{"openalex":"https://openalex.org/W2087341942","doi":"https://doi.org/10.1109/icde.2014.6816738","mag":"2087341942"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2014.6816738","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2014.6816738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 30th International Conference on Data Engineering","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/A5036273604","display_name":"Jiamin Lu","orcid":"https://orcid.org/0000-0002-0643-0736"},"institutions":[{"id":"https://openalex.org/I120691247","display_name":"University of Hagen","ror":"https://ror.org/04tkkr536","country_code":"DE","type":"education","lineage":["https://openalex.org/I120691247"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jiamin Lu","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, FernUniversit\u00e4t Hagen, Hagen, Germany","Faculty of Mathematics and Computer Science, Fernuniversit\u00e4t Hagen, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, FernUniversit\u00e4t Hagen, Hagen, Germany","institution_ids":["https://openalex.org/I120691247"]},{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, Fernuniversit\u00e4t Hagen, Germany","institution_ids":["https://openalex.org/I120691247"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055789823","display_name":"Ralf Hartmut G\u00fcting","orcid":"https://orcid.org/0000-0001-6260-4051"},"institutions":[{"id":"https://openalex.org/I120691247","display_name":"University of Hagen","ror":"https://ror.org/04tkkr536","country_code":"DE","type":"education","lineage":["https://openalex.org/I120691247"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ralf Hartmut Guting","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, FernUniversit\u00e4t Hagen, Hagen, Germany","Faculty of Mathematics and Computer Science, Fernuniversit\u00e4t Hagen, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, FernUniversit\u00e4t Hagen, Hagen, Germany","institution_ids":["https://openalex.org/I120691247"]},{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, Fernuniversit\u00e4t Hagen, Germany","institution_ids":["https://openalex.org/I120691247"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036273604"],"corresponding_institution_ids":["https://openalex.org/I120691247"],"apc_list":null,"apc_paid":null,"fwci":2.6203,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.90637116,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"33","issue":null,"first_page":"1190","last_page":"1193"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9969000220298767,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.989799976348877,"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/computer-science","display_name":"Computer science","score":0.8687801361083984},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6490718126296997},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5884714126586914},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.491356760263443},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.47785207629203796},{"id":"https://openalex.org/keywords/pattern-matching","display_name":"Pattern matching","score":0.4775446355342865},{"id":"https://openalex.org/keywords/parallel-processing","display_name":"Parallel processing","score":0.46947726607322693},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4459953308105469},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4249138832092285},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3988339602947235},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3824993371963501},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2858812212944031},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1633458435535431}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8687801361083984},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6490718126296997},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5884714126586914},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.491356760263443},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.47785207629203796},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.4775446355342865},{"id":"https://openalex.org/C106515295","wikidata":"https://www.wikidata.org/wiki/Q26806595","display_name":"Parallel processing","level":2,"score":0.46947726607322693},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4459953308105469},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4249138832092285},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3988339602947235},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3824993371963501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2858812212944031},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1633458435535431},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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:10.1109/icde.2014.6816738","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2014.6816738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 30th International Conference on Data Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8500000238418579}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W62227241","https://openalex.org/W2038230692","https://openalex.org/W2075440920","https://openalex.org/W2098994245","https://openalex.org/W2108155874","https://openalex.org/W2113250622","https://openalex.org/W2115583184","https://openalex.org/W2125775320","https://openalex.org/W2127211454","https://openalex.org/W2173213060","https://openalex.org/W2278967419"],"related_works":["https://openalex.org/W1509211761","https://openalex.org/W2391299576","https://openalex.org/W2133693067","https://openalex.org/W1531488649","https://openalex.org/W3037767301","https://openalex.org/W1585350690","https://openalex.org/W2582456645","https://openalex.org/W2479014312","https://openalex.org/W2366027386","https://openalex.org/W2155209280"],"abstract_inverted_index":{"Parallel":[0,109],"Secondo":[1,20,67,110],"scales":[2],"up":[3,71],"the":[4,36,48,60,63,72,115],"capability":[5],"of":[6,19,125],"processing":[7],"extensible":[8],"data":[9,27,61],"models":[10],"in":[11,98,108],"Secondo.":[12,100],"It":[13,58],"combines":[14],"Hadoop":[15],"with":[16],"a":[17,56,121],"set":[18],"databases,":[21],"providing":[22],"almost":[23],"all":[24],"existing":[25],"SECONDO":[26],"types":[28],"and":[29,76,83,96],"operators.":[30],"Therefore":[31],"it":[32],"is":[33],"possible":[34],"for":[35],"user":[37],"to":[38,43,69,114],"convert":[39],"large-scale":[40],"sequential":[41,94],"queries":[42,45,80,90],"parallel":[44,117],"without":[46],"learning":[47],"Map/Reduce":[49],"programming":[50],"details.":[51],"This":[52],"paper":[53],"demonstrates":[54],"such":[55],"procedure.":[57],"imports":[59],"from":[62],"project":[64],"OpenStreetMap":[65],"into":[66],"databases":[68],"build":[70],"urban":[73],"traffic":[74],"network":[75],"then":[77],"processes":[78],"network-based":[79],"like":[81],"map-matching":[82],"symbolic":[84],"trajectory":[85],"pattern":[86],"matching.":[87],"All":[88],"involved":[89],"were":[91],"stated":[92],"as":[93],"expressions":[95],"time-consuming":[97],"single-computer":[99],"However,":[101],"they":[102],"can":[103],"achieve":[104],"an":[105],"impressive":[106],"performance":[107],"after":[111],"being":[112],"converted":[113],"corresponding":[116],"queries,":[118],"even":[119],"on":[120],"small":[122],"cluster":[123],"consisting":[124],"six":[126],"low-end":[127],"computers.":[128]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}