{"id":"https://openalex.org/W4386204657","doi":"https://doi.org/10.1145/3603719.3603722","title":"A Computer Vision Approach for Detecting Discrepancies in Map Textual Labels","display_name":"A Computer Vision Approach for Detecting Discrepancies in Map Textual Labels","publication_year":2023,"publication_date":"2023-07-10","ids":{"openalex":"https://openalex.org/W4386204657","doi":"https://doi.org/10.1145/3603719.3603722"},"language":"en","primary_location":{"id":"doi:10.1145/3603719.3603722","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3603719.3603722","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3603719.3603722","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"35th International Conference on Scientific and Statistical Database Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3603719.3603722","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035493173","display_name":"Abdulrahman Salama","orcid":"https://orcid.org/0000-0003-4295-2248"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Abdulrahman Salama","raw_affiliation_strings":["University of Washington, USA"],"raw_orcid":"https://orcid.org/0000-0003-4295-2248","affiliations":[{"raw_affiliation_string":"University of Washington, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092703579","display_name":"Mahmoud Elkamhawy","orcid":"https://orcid.org/0009-0007-3998-8027"},"institutions":[{"id":"https://openalex.org/I4210150356","display_name":"University of Washington Tacoma","ror":"https://ror.org/05n8t2628","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210150356"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahmoud Elkamhawy","raw_affiliation_strings":["university of washington tacoma, USA"],"raw_orcid":"https://orcid.org/0009-0007-3998-8027","affiliations":[{"raw_affiliation_string":"university of washington tacoma, USA","institution_ids":["https://openalex.org/I4210150356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053263447","display_name":"Mohamed Ali","orcid":"https://orcid.org/0000-0003-3668-4531"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohamed Ali","raw_affiliation_strings":["University of Washington, USA"],"raw_orcid":"https://orcid.org/0000-0003-3668-4531","affiliations":[{"raw_affiliation_string":"University of Washington, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112988487","display_name":"Ehab Al-Masri","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ehab Al-Masri","raw_affiliation_strings":["University of Washington, USA"],"raw_orcid":"https://orcid.org/0000-0002-5163-6792","affiliations":[{"raw_affiliation_string":"University of Washington, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003976433","display_name":"Adel Sabour","orcid":"https://orcid.org/0000-0003-3652-2727"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adel Sabour","raw_affiliation_strings":["University of Washington, USA"],"raw_orcid":"https://orcid.org/0000-0003-3652-2727","affiliations":[{"raw_affiliation_string":"University of Washington, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058249834","display_name":"Abdeltawab Hendawi","orcid":"https://orcid.org/0000-0003-3385-3379"},"institutions":[{"id":"https://openalex.org/I17626003","display_name":"University of Rhode Island","ror":"https://ror.org/013ckk937","country_code":"US","type":"education","lineage":["https://openalex.org/I17626003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abdeltawab Hendawi","raw_affiliation_strings":["University of Rhode Island, USA"],"raw_orcid":"https://orcid.org/0000-0003-3385-3379","affiliations":[{"raw_affiliation_string":"University of Rhode Island, USA","institution_ids":["https://openalex.org/I17626003"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101924764","display_name":"Ming Tan","orcid":"https://orcid.org/0009-0000-2503-7377"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming Tan","raw_affiliation_strings":["Microsoft, USA"],"raw_orcid":"https://orcid.org/0009-0000-2503-7377","affiliations":[{"raw_affiliation_string":"Microsoft, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022570175","display_name":"Vashutosh Agrawal","orcid":"https://orcid.org/0009-0008-6910-0591"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vashutosh Agrawal","raw_affiliation_strings":["Microsoft, USA"],"raw_orcid":"https://orcid.org/0009-0008-6910-0591","affiliations":[{"raw_affiliation_string":"Microsoft, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042680984","display_name":"Ravi Prakash","orcid":"https://orcid.org/0009-0004-0882-4589"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ravi Prakash","raw_affiliation_strings":["Microsoft, USA"],"raw_orcid":"https://orcid.org/0009-0004-0882-4589","affiliations":[{"raw_affiliation_string":"Microsoft, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5035493173"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18203776,"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":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9919999837875366,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9909999966621399,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7615607976913452},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7258630990982056},{"id":"https://openalex.org/keywords/jaccard-index","display_name":"Jaccard index","score":0.6957453489303589},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5445842742919922},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5299678444862366},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.47988998889923096},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4788941442966461},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.42897191643714905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41743290424346924},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.19181343913078308}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7615607976913452},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7258630990982056},{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.6957453489303589},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5445842742919922},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5299678444862366},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.47988998889923096},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4788941442966461},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.42897191643714905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41743290424346924},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.19181343913078308},{"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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:10.1145/3603719.3603722","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3603719.3603722","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3603719.3603722","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"35th International Conference on Scientific and Statistical Database Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3603719.3603722","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3603719.3603722","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3603719.3603722","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"35th International Conference on Scientific and Statistical Database Management","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386204657.pdf","grobid_xml":"https://content.openalex.org/works/W4386204657.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1993354618","https://openalex.org/W2018354678","https://openalex.org/W2146274782","https://openalex.org/W2300133183","https://openalex.org/W2565639579","https://openalex.org/W2765543066","https://openalex.org/W3043055068","https://openalex.org/W3108472310","https://openalex.org/W3171081052","https://openalex.org/W3174770374","https://openalex.org/W3181317319"],"related_works":["https://openalex.org/W4254879869","https://openalex.org/W3022576529","https://openalex.org/W2628526247","https://openalex.org/W2596401011","https://openalex.org/W2913569734","https://openalex.org/W4401519790","https://openalex.org/W2702570413","https://openalex.org/W3127229356","https://openalex.org/W2901284887","https://openalex.org/W2294604808"],"abstract_inverted_index":{"Maps":[0],"provide":[1],"various":[2],"sources":[3,61],"of":[4,9,58,62,76,142,169,232,252],"information.":[5],"An":[6],"important":[7,86],"example":[8],"such":[10,15,94],"information":[11,26,79],"is":[12,44,85,107],"textual":[13,50],"labels":[14,51,136,193],"as":[16,27,101,262,264],"cities,":[17],"neighborhoods,":[18],"and":[19,29,80,91,105,134,183,222,226],"street":[20],"names.":[21],"Although":[22],"we":[23,114,124,165,188],"treat":[24,98],"this":[25,42,99],"facts,":[28],"despite":[30],"the":[31,54,59,74,77,89,111,117,139,143,151,156,162,167,191,230,241,245,257],"massive":[32],"effort":[33],"done":[34],"by":[35,155],"providers":[36,97,236],"to":[37,87,110,198,207],"continuously":[38],"improve":[39],"their":[40,102],"accuracy,":[41],"data":[43,100,104,118],"far":[45],"from":[46],"perfect.":[47],"Discrepancies":[48,260],"in":[49,93,200,212,268],"rendered":[52],"on":[53,73,138,150,161],"map":[55,65,158,172,177,235,253],"are":[56,218],"one":[57],"major":[60],"inconsistencies":[63],"across":[64,171,234],"providers.":[66,173,202],"These":[67],"discrepancies":[68,170,233],"can":[69],"have":[70],"significant":[71],"impacts":[72],"reliability":[75],"derived":[78],"decision-making":[81],"processes.":[82],"Thus,":[83],"it":[84,106],"validate":[88],"accuracy":[90,196],"consistency":[92],"data.":[95],"Most":[96],"propriety":[103],"not":[108],"available":[109],"public,":[112],"thus":[113],"cannot":[115],"compare":[116],"directly.":[119],"To":[120],"address":[121],"these":[122],"challenges,":[123],"introduce":[125],"a":[126],"novel":[127],"computer":[128],"vision-based":[129],"approach":[130],"for":[131,249],"automatically":[132],"extracting":[133],"classifying":[135],"based":[137,149],"visual":[140],"characteristics":[141],"label,":[144],"which":[145,255],"indicates":[146],"its":[147],"category":[148],"format":[152],"convention":[153],"used":[154],"specific":[157],"provider.":[159],"Based":[160],"extracted":[163,246],"data,":[164],"detect":[166],"degree":[168],"We":[174,203,239],"consider":[175],"three":[176],"providers:":[178],"Bing":[179],"Maps,":[180,182],"Google":[181],"OpenStreetMaps.":[184],"The":[185,215],"neural":[186],"network":[187],"develop":[189],"classifies":[190],"text":[192,247],"with":[194],"an":[195],"up":[197],"93%":[199],"all":[201],"leverage":[204],"our":[205],"system":[206],"analyze":[208],"randomly":[209],"selected":[210],"regions":[211],"different":[213],"markets.":[214,270],"studied":[216],"markets":[217],"USA,":[219],"Germany,":[220],"France,":[221],"Brazil.":[223],"Experimental":[224],"results":[225],"statistical":[227],"analysis":[228],"reveal":[229],"amount":[231],"per":[237],"region.":[238],"calculate":[240],"Jaccard":[242],"distance":[243],"between":[244],"sets":[248],"each":[250],"pair":[251],"providers,":[254],"represents":[256],"discrepancy":[258],"percentage.":[259],"percentages":[261],"high":[263],"90%":[265],"were":[266],"found":[267],"some":[269]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
