{"id":"https://openalex.org/W2983354818","doi":"https://doi.org/10.1145/3347146.3359365","title":"Push-based Spatial Crowdsourcing for Enriching Semantic Tags in OpenStreetMap","display_name":"Push-based Spatial Crowdsourcing for Enriching Semantic Tags in OpenStreetMap","publication_year":2019,"publication_date":"2019-11-05","ids":{"openalex":"https://openalex.org/W2983354818","doi":"https://doi.org/10.1145/3347146.3359365","mag":"2983354818"},"language":"en","primary_location":{"id":"doi:10.1145/3347146.3359365","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3347146.3359365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","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/A5037264556","display_name":"Srinivasa Raghavendra Bhuvan Gummidi","orcid":"https://orcid.org/0000-0001-9374-9528"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Srinivasa Raghavendra Bhuvan Gummidi","raw_affiliation_strings":["Aalborg University"],"affiliations":[{"raw_affiliation_string":"Aalborg University","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061064237","display_name":"Torben Bach Pedersen","orcid":"https://orcid.org/0000-0002-1615-777X"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Torben Bach Pedersen","raw_affiliation_strings":["Aalborg University"],"affiliations":[{"raw_affiliation_string":"Aalborg University","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037366245","display_name":"Xike Xie","orcid":"https://orcid.org/0000-0001-5290-5408"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xike Xie","raw_affiliation_strings":["University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050401502","display_name":"Esteban Zim\u00e1nyi","orcid":"https://orcid.org/0000-0003-1843-5099"},"institutions":[{"id":"https://openalex.org/I132053463","display_name":"Universit\u00e9 Libre de Bruxelles","ror":"https://ror.org/01r9htc13","country_code":"BE","type":"education","lineage":["https://openalex.org/I132053463"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Esteban Zim\u00e1nyi","raw_affiliation_strings":["Universite Libre de Bruxelles"],"affiliations":[{"raw_affiliation_string":"Universite Libre de Bruxelles","institution_ids":["https://openalex.org/I132053463"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037264556"],"corresponding_institution_ids":["https://openalex.org/I891191580"],"apc_list":null,"apc_paid":null,"fwci":0.6019,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.75893472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"532","last_page":"535"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9969000220298767,"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":0.9947999715805054,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.8680742979049683},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7839145064353943},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.7560025453567505},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6392578482627869},{"id":"https://openalex.org/keywords/amateur","display_name":"Amateur","score":0.5664049983024597},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5441620349884033},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.46864527463912964},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4615023732185364},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4332118630409241},{"id":"https://openalex.org/keywords/volunteered-geographic-information","display_name":"Volunteered geographic information","score":0.42929500341415405},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36978501081466675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34047022461891174},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.22391954064369202},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2079470157623291},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1789858639240265}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.8680742979049683},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7839145064353943},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.7560025453567505},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6392578482627869},{"id":"https://openalex.org/C2778044066","wikidata":"https://www.wikidata.org/wiki/Q455595","display_name":"Amateur","level":2,"score":0.5664049983024597},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5441620349884033},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.46864527463912964},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4615023732185364},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4332118630409241},{"id":"https://openalex.org/C57380593","wikidata":"https://www.wikidata.org/wiki/Q933625","display_name":"Volunteered geographic information","level":2,"score":0.42929500341415405},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36978501081466675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34047022461891174},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.22391954064369202},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2079470157623291},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1789858639240265},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3347146.3359365","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3347146.3359365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/798401c0-14b3-4382-9dca-284913b747dc","is_oa":false,"landing_page_url":"https://vbn.aau.dk/da/publications/798401c0-14b3-4382-9dca-284913b747dc","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Gummidi, B, Pedersen, T B, Xie, X & Zim\u00e1nyi, E 2019, Push-based Spatial Crowdsourcing for Enriching Semantic Tags in OpenStreetMap. in F Banaei-Kashani, G Trajcevski, R H Guting, L Kulik & S Newsam (eds), Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : SIGSPATIAL'19. Association for Computing Machinery (ACM), pp. 532-535, International Conference on Advances in Geographic Information Systems, Chicago, United States, 05/11/2019. https://doi.org/10.1145/3347146.3359365","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G6760532919","display_name":null,"funder_award_id":"61772492","funder_id":"https://openalex.org/F4320327720","funder_display_name":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China"},{"id":"https://openalex.org/G6918420806","display_name":null,"funder_award_id":"BK20171240","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327720","display_name":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2032824256","https://openalex.org/W2059618043","https://openalex.org/W2142285783","https://openalex.org/W2281858190","https://openalex.org/W2608394281","https://openalex.org/W2922336629","https://openalex.org/W3104340135"],"related_works":["https://openalex.org/W2733029865","https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W1991837421","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2955098766","https://openalex.org/W2269136550","https://openalex.org/W2337920774","https://openalex.org/W4286908577"],"abstract_inverted_index":{"OpenStreetMap":[0],"(OSM)":[1],"is":[2,16],"a":[3,17,95],"popular":[4],"community-driven":[5],"mapping":[6],"platform":[7],"with":[8],"voluntary":[9],"contributions":[10],"from":[11],"(amateur)":[12],"cartographers.":[13],"However,":[14],"it":[15,106],"difficult":[18],"process":[19],"for":[20,44,58,87],"the":[21,25,35,59,62,71,76,83,88,118,145,153,162,176],"cartographer":[22,89],"to":[23,32,69,90,100,161],"identify":[24],"areas":[26],"where":[27],"she":[28],"can":[29],"best":[30],"contribute":[31],"OSM.":[33,113],"Furthermore,":[34],"current":[36],"OSM":[37],"spatial":[38,97],"entities":[39],"are":[40,55],"missing":[41],"many":[42],"tags;":[43],"example,":[45],"top":[46],"three":[47],"road":[48,64,77,85,110,121,136,166,171],"network":[49,78],"tags,":[50],"Name,":[51],"Source,":[52],"and":[53,73,104,126,135,170,181],"Surface,":[54],"available":[56],"only":[57],"10%":[60],"of":[61,75,147,156,164],"total":[63],"segments.":[65],"Our":[66],"paper":[67],"aims":[68],"improve":[70],"quantity":[72],"quality":[74],"tags":[79],"by":[80,107,151,179],"actively":[81],"pushing":[82],"nearest":[84],"segments":[86,111],"be":[91],"mapped.":[92],"We":[93],"propose":[94],"push-based":[96],"crowdsourcing":[98],"method":[99],"achieve":[101],"this":[102],"objective,":[103],"validate":[105],"focusing":[108],"on":[109,130],"in":[112],"Specifically,":[114],"we":[115],"formally":[116],"define":[117],"batch-based":[119],"maximum":[120],"segment":[122,137],"task":[123,138],"assignment":[124,149],"problem":[125],"suggest":[127],"methods":[128,178],"based":[129],"heuristics":[131],"like":[132],"travel":[133],"distance":[134],"grouping.":[139],"Finally,":[140],"our":[141,148,168],"experimental":[142],"evaluation":[143],"verify":[144],"applicability":[146],"solutions":[150],"comparing":[152],"resulting":[154],"number":[155,163],"assigned":[157,165],"tasks.":[158],"With":[159],"regard":[160],"segments,":[167],"junctions-based":[169],"segment-based":[172],"heuristic":[173],"methods,":[174],"outperform":[175],"baseline":[177],"five":[180],"two":[182],"times,":[183],"respectively.":[184]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}