{"id":"https://openalex.org/W4294811530","doi":"https://doi.org/10.1109/cec55065.2022.9870276","title":"Solving the Point Feature Cartographic Label Placement problem using Jaccard index as a measure of labels intersection","display_name":"Solving the Point Feature Cartographic Label Placement problem using Jaccard index as a measure of labels intersection","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4294811530","doi":"https://doi.org/10.1109/cec55065.2022.9870276"},"language":"en","primary_location":{"id":"doi:10.1109/cec55065.2022.9870276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec55065.2022.9870276","pdf_url":null,"source":{"id":"https://openalex.org/S4363605353","display_name":"2022 IEEE Congress on Evolutionary Computation (CEC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Congress on Evolutionary Computation (CEC)","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/A5012650166","display_name":"Geraldo Regis Mauri","orcid":"https://orcid.org/0000-0002-8393-7741"},"institutions":[{"id":"https://openalex.org/I51235708","display_name":"Universidade Federal do Esp\u00edrito Santo","ror":"https://ror.org/05sxf4h28","country_code":"BR","type":"education","lineage":["https://openalex.org/I51235708"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Geraldo R. Mauri","raw_affiliation_strings":["Fed. Univ. of Espirito Santo Alegre,Brasil","Fed. Univ. of Espirito Santo Alegre, Brasil"],"affiliations":[{"raw_affiliation_string":"Fed. Univ. of Espirito Santo Alegre,Brasil","institution_ids":["https://openalex.org/I51235708"]},{"raw_affiliation_string":"Fed. Univ. of Espirito Santo Alegre, Brasil","institution_ids":["https://openalex.org/I51235708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032190066","display_name":"Luiz Henrique Nogueira Lorena","orcid":"https://orcid.org/0000-0002-7072-785X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luiz H. N. Lorena","raw_affiliation_strings":["Fed. Univ. of São Paulo São Jose dos Campos,Brazil"],"affiliations":[{"raw_affiliation_string":"Fed. Univ. of São Paulo São Jose dos Campos,Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068445974","display_name":"Luiz Ant\u00f4nio Nogueira Lorena","orcid":"https://orcid.org/0000-0003-2043-1441"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luiz A. N. Lorena","raw_affiliation_strings":["Fed. Univ. of São Paulo São Jose dos Campos,Brazil"],"affiliations":[{"raw_affiliation_string":"Fed. Univ. of São Paulo São Jose dos Campos,Brazil","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004964195","display_name":"Ant\u00f4nio Augusto Chaves","orcid":"https://orcid.org/0000-0001-5767-6798"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Antonio A. Chaves","raw_affiliation_strings":["Fed. Univ. of São Paulo São Jose dos Campos,Brazil"],"affiliations":[{"raw_affiliation_string":"Fed. Univ. of São Paulo São Jose dos Campos,Brazil","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012650166"],"corresponding_institution_ids":["https://openalex.org/I51235708"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07172196,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9986000061035156,"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":0.9986000061035156,"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/T10996","display_name":"Computational Geometry and Mesh Generation","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.9934999942779541,"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/jaccard-index","display_name":"Jaccard index","score":0.9543100595474243},{"id":"https://openalex.org/keywords/legibility","display_name":"Legibility","score":0.8421758413314819},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.6976662278175354},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6179280877113342},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6109169125556946},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.59006267786026},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5733492374420166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4861745238304138},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4855753779411316},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4767947196960449},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.467947393655777},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44008031487464905},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3809496760368347},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3035067915916443},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08296453952789307},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07846006751060486}],"concepts":[{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.9543100595474243},{"id":"https://openalex.org/C2779332521","wikidata":"https://www.wikidata.org/wiki/Q1820694","display_name":"Legibility","level":2,"score":0.8421758413314819},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.6976662278175354},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6179280877113342},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6109169125556946},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.59006267786026},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5733492374420166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4861745238304138},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4855753779411316},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4767947196960449},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.467947393655777},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44008031487464905},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3809496760368347},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3035067915916443},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08296453952789307},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07846006751060486},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec55065.2022.9870276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec55065.2022.9870276","pdf_url":null,"source":{"id":"https://openalex.org/S4363605353","display_name":"2022 IEEE Congress on Evolutionary Computation (CEC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3505303213","display_name":null,"funder_award_id":"2018/15417-8,2021-F8GXG","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"}],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W21349157","https://openalex.org/W1525334989","https://openalex.org/W1980073965","https://openalex.org/W1981556893","https://openalex.org/W1985369116","https://openalex.org/W2003147630","https://openalex.org/W2024060531","https://openalex.org/W2065453222","https://openalex.org/W2068162927","https://openalex.org/W2069559103","https://openalex.org/W2141119792","https://openalex.org/W2153446897","https://openalex.org/W2155332641","https://openalex.org/W2169753586","https://openalex.org/W2767839465","https://openalex.org/W2943782735","https://openalex.org/W4214886405","https://openalex.org/W4232585008","https://openalex.org/W6600907350","https://openalex.org/W6631504752","https://openalex.org/W6682763932"],"related_works":["https://openalex.org/W4254879869","https://openalex.org/W3022576529","https://openalex.org/W565076200","https://openalex.org/W2628526247","https://openalex.org/W2473574490","https://openalex.org/W2596401011","https://openalex.org/W2913569734","https://openalex.org/W4401519790","https://openalex.org/W2702570413","https://openalex.org/W4386507344"],"abstract_inverted_index":{"This":[0,69],"paper":[1],"presents":[2],"a":[3,19,34,123],"new":[4],"approach":[5],"to":[6,30,38,45,90,115,138],"solve":[7,46],"the":[8,27,51,60,64,76,80,91,96,100,117],"Point":[9],"Feature":[10],"Cartographic":[11],"Label":[12],"Placement":[13],"(PFCLP)":[14],"problem.":[15],"The":[16,41,128],"PFCLP":[17,87],"is":[18,29],"relevant":[20],"problem":[21,48],"for":[22,86,134],"Geographic":[23],"Information":[24],"Systems,":[25],"where":[26],"objective":[28],"position":[31],"labels":[32],"on":[33,122],"map":[35],"avoiding":[36],"overlaps":[37],"improve":[39],"legibility.":[40,106],"first":[42],"techniques":[43],"proposed":[44,92,114],"this":[47],"considered":[49],"only":[50],"presence/absence":[52],"of":[53,62,66,105,119,125],"over-lapping,":[54],"while":[55],"more":[56],"recent":[57],"ones":[58],"introduced":[59],"idea":[61],"estimating":[63],"intensity":[65,78],"such":[67],"overlap.":[68],"work":[70],"extends":[71],"previous":[72],"works":[73],"by":[74],"considering":[75],"overlap":[77],"through":[79],"Jaccard":[81,97],"index.":[82],"Traditional":[83],"mathematical":[84],"models":[85],"were":[88],"compared":[89],"strategy":[93,121],"showing":[94],"that":[95],"index":[98],"provided":[99],"best":[101],"results":[102,130],"in":[103],"terms":[104],"A":[107],"Clustering":[108],"Search":[109],"(CS)":[110],"algorithm":[111],"was":[112],"also":[113],"compare":[116],"performance":[118],"our":[120],"set":[124],"large-sized":[126],"instances.":[127],"experimental":[129],"show":[131],"good":[132],"solutions":[133],"instances":[135],"with":[136],"up":[137],"13206":[139],"points.":[140]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}