{"id":"https://openalex.org/W3087380632","doi":"https://doi.org/10.1155/2020/8877739","title":"Integrating Image and Network-Based Topological Data through Spatial Data Fusion for Indoor Location-Based Services","display_name":"Integrating Image and Network-Based Topological Data through Spatial Data Fusion for Indoor Location-Based Services","publication_year":2020,"publication_date":"2020-09-19","ids":{"openalex":"https://openalex.org/W3087380632","doi":"https://doi.org/10.1155/2020/8877739","mag":"3087380632"},"language":"en","primary_location":{"id":"doi:10.1155/2020/8877739","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8877739","pdf_url":"https://downloads.hindawi.com/journals/js/2020/8877739.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/js/2020/8877739.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070247489","display_name":"D. Ahn","orcid":"https://orcid.org/0000-0003-2862-0861"},"institutions":[{"id":"https://openalex.org/I124633538","display_name":"University of Seoul","ror":"https://ror.org/05en5nh73","country_code":"KR","type":"education","lineage":["https://openalex.org/I124633538"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dasol Ahn","raw_affiliation_strings":["Department of Geoinformatics, University of Seoul, 163 Seoulsiripdae-ro, Dongdaemun-gu, Seoul 02504, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-2862-0861","affiliations":[{"raw_affiliation_string":"Department of Geoinformatics, University of Seoul, 163 Seoulsiripdae-ro, Dongdaemun-gu, Seoul 02504, Republic of Korea","institution_ids":["https://openalex.org/I124633538"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033593129","display_name":"Alexis Richard C. Claridades","orcid":"https://orcid.org/0000-0001-9826-4271"},"institutions":[{"id":"https://openalex.org/I124633538","display_name":"University of Seoul","ror":"https://ror.org/05en5nh73","country_code":"KR","type":"education","lineage":["https://openalex.org/I124633538"]},{"id":"https://openalex.org/I87074743","display_name":"University of the Philippines Diliman","ror":"https://ror.org/03tbh6y23","country_code":"PH","type":"education","lineage":["https://openalex.org/I103911934","https://openalex.org/I87074743"]}],"countries":["KR","PH"],"is_corresponding":false,"raw_author_name":"Alexis Richard C. Claridades","raw_affiliation_strings":["Department of Geodetic Engineering, University of the Philippines Diliman, Quezon City 1101, Philippines","Department of Geoinformatics, University of Seoul, 163 Seoulsiripdae-ro, Dongdaemun-gu, Seoul 02504, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-9826-4271","affiliations":[{"raw_affiliation_string":"Department of Geodetic Engineering, University of the Philippines Diliman, Quezon City 1101, Philippines","institution_ids":["https://openalex.org/I87074743"]},{"raw_affiliation_string":"Department of Geoinformatics, University of Seoul, 163 Seoulsiripdae-ro, Dongdaemun-gu, Seoul 02504, Republic of Korea","institution_ids":["https://openalex.org/I124633538"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108048432","display_name":"Jiyeong Lee","orcid":"https://orcid.org/0000-0001-8229-1267"},"institutions":[{"id":"https://openalex.org/I124633538","display_name":"University of Seoul","ror":"https://ror.org/05en5nh73","country_code":"KR","type":"education","lineage":["https://openalex.org/I124633538"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jiyeong Lee","raw_affiliation_strings":["Department of Geoinformatics, University of Seoul, 163 Seoulsiripdae-ro, Dongdaemun-gu, Seoul 02504, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-8229-1267","affiliations":[{"raw_affiliation_string":"Department of Geoinformatics, University of Seoul, 163 Seoulsiripdae-ro, Dongdaemun-gu, Seoul 02504, Republic of Korea","institution_ids":["https://openalex.org/I124633538"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108048432"],"corresponding_institution_ids":["https://openalex.org/I124633538"],"apc_list":{"value":2375,"currency":"USD","value_usd":2375},"apc_paid":{"value":2375,"currency":"USD","value_usd":2375},"fwci":0.6701,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.67285144,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12698","display_name":"3D Modeling in Geospatial Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12698","display_name":"3D Modeling in Geospatial Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7305848598480225},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.6734998226165771},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5233977437019348},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.47966793179512024},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4699293076992035},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.44621098041534424},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43889933824539185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3230857253074646},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20596152544021606},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.20117339491844177},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.13899415731430054},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09653928875923157}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7305848598480225},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.6734998226165771},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5233977437019348},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.47966793179512024},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4699293076992035},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.44621098041534424},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43889933824539185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3230857253074646},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20596152544021606},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.20117339491844177},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13899415731430054},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09653928875923157},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2020/8877739","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8877739","pdf_url":"https://downloads.hindawi.com/journals/js/2020/8877739.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fce455a1b06f4d56b15ac4545b102412","is_oa":false,"landing_page_url":"https://doaj.org/article/fce455a1b06f4d56b15ac4545b102412","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Sensors, Vol 2020 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2020/8877739","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8877739","pdf_url":"https://downloads.hindawi.com/journals/js/2020/8877739.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G3846725132","display_name":null,"funder_award_id":"20NSIP-B135746-04","funder_id":"https://openalex.org/F4320322010","funder_display_name":"Ministry of Land, Infrastructure and Transport"}],"funders":[{"id":"https://openalex.org/F4320322010","display_name":"Ministry of Land, Infrastructure and Transport","ror":"https://ror.org/04xt5aa77"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3087380632.pdf","grobid_xml":"https://content.openalex.org/works/W3087380632.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W218141278","https://openalex.org/W1519393268","https://openalex.org/W1947286160","https://openalex.org/W1972227475","https://openalex.org/W1972248659","https://openalex.org/W1987230990","https://openalex.org/W2030710545","https://openalex.org/W2033666154","https://openalex.org/W2047927510","https://openalex.org/W2076795475","https://openalex.org/W2086019442","https://openalex.org/W2088124730","https://openalex.org/W2118801500","https://openalex.org/W2133297572","https://openalex.org/W2140193761","https://openalex.org/W2157228516","https://openalex.org/W2159153839","https://openalex.org/W2159200188","https://openalex.org/W2197906902","https://openalex.org/W2345333930","https://openalex.org/W2586284916","https://openalex.org/W2598108580","https://openalex.org/W2606342776","https://openalex.org/W2741308468","https://openalex.org/W2766920272","https://openalex.org/W2801063294","https://openalex.org/W2803135295","https://openalex.org/W2808066302","https://openalex.org/W2898960446","https://openalex.org/W2962717701","https://openalex.org/W3004745566","https://openalex.org/W4236197175","https://openalex.org/W6732857125"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W3009369890","https://openalex.org/W4312490297","https://openalex.org/W2062212388"],"abstract_inverted_index":{"Nowadays,":[0],"the":[1,14,70,74,78,89,111,127,166,180],"importance":[2],"and":[3,22,38,45,88,105,146,182,193],"utilization":[4],"of":[5,40,73,85,117,129],"spatial":[6,18,71,153],"information":[7,19,68,160],"are":[8,43,46],"recognized.":[9],"Particularly":[10],"in":[11,35,165],"urban":[12],"areas,":[13],"demand":[15],"for":[16,113],"indoor":[17,50,61,152,183,191,196],"draws":[20],"attention":[21],"most":[23,31],"commonly":[24],"requires":[25],"high-precision":[26],"3D":[27,171],"data.":[28,185],"However":[29],"accurate,":[30],"methodologies":[32],"present":[33,97],"problems":[34],"construction":[36],"cost":[37],"ease":[39],"updating.":[41],"Images":[42],"accessible":[44],"useful":[47],"to":[48,59,139,149,168,173,176],"express":[49],"space,":[51],"but":[52],"pixel":[53],"data":[54,66,99,104,114,124,148],"cannot":[55],"be":[56,174],"applied":[57],"directly":[58],"provide":[60,150],"services.":[62],"A":[63],"network-based":[64,107],"topological":[65,108],"gives":[67],"about":[69],"relationships":[72],"spaces":[75,87],"depicted":[76],"by":[77,162],"image,":[79],"as":[80,82],"well":[81],"enables":[83],"recognition":[84],"these":[86],"objects":[90],"contained":[91],"within.":[92],"In":[93],"this":[94,137],"paper,":[95],"we":[96,135],"a":[98,106,118,122,130,141,163,170,189],"fusion":[100],"methodology":[101,138],"between":[102,143],"image":[103,167],"data,":[109,120],"without":[110],"need":[112],"conversion,":[115],"use":[116],"reference":[119],"or":[121],"separate":[123],"model.":[125],"Using":[126],"concept":[128],"Spatial":[131],"Extended":[132],"Point":[133],"(SEP),":[134],"implement":[136],"establish":[140],"correspondence":[142,178],"omnidirectional":[144],"images":[145],"IndoorGML":[147,181],"an":[151,195],"service.":[154],"The":[155],"proposed":[156],"algorithm":[157],"used":[158,175],"position":[159],"identified":[161],"user":[164],"define":[169],"region":[172],"distinguish":[177],"with":[179,188],"POI":[184],"We":[186],"experiment":[187],"corridor-type":[190],"space":[192],"construct":[194],"navigation":[197],"platform.":[198]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
