{"id":"https://openalex.org/W2181983688","doi":"https://doi.org/10.1109/ipin.2015.7346759","title":"SemSense: Automatic construction of semantic indoor floorplans","display_name":"SemSense: Automatic construction of semantic indoor floorplans","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2181983688","doi":"https://doi.org/10.1109/ipin.2015.7346759","mag":"2181983688"},"language":"en","primary_location":{"id":"doi:10.1109/ipin.2015.7346759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin.2015.7346759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Indoor Positioning and Indoor Navigation (IPIN)","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/A5012034380","display_name":"Moustafa Elhamshary","orcid":"https://orcid.org/0000-0001-7774-5017"},"institutions":[{"id":"https://openalex.org/I32619867","display_name":"Egypt-Japan University of Science and Technology","ror":"https://ror.org/02x66tk73","country_code":"EG","type":"education","lineage":["https://openalex.org/I32619867"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Moustafa Elhamshary","raw_affiliation_strings":["Wireless Research Center, Egypt-Japan Univ. of Sc. and Tech.(E-JUST), Alexandria, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wireless Research Center, Egypt-Japan Univ. of Sc. and Tech.(E-JUST), Alexandria, Egypt","institution_ids":["https://openalex.org/I32619867"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008352007","display_name":"Moustafa Youssef","orcid":"https://orcid.org/0000-0002-2063-4364"},"institutions":[{"id":"https://openalex.org/I32619867","display_name":"Egypt-Japan University of Science and Technology","ror":"https://ror.org/02x66tk73","country_code":"EG","type":"education","lineage":["https://openalex.org/I32619867"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Moustafa Youssef","raw_affiliation_strings":["Wireless Research Center, Egypt-Japan Univ. of Sc. and Tech.(E-JUST), Alexandria, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wireless Research Center, Egypt-Japan Univ. of Sc. and Tech.(E-JUST), Alexandria, Egypt","institution_ids":["https://openalex.org/I32619867"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.0209,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.95644382,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"96","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9939000010490417,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/computer-science","display_name":"Computer science","score":0.8053170442581177},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6551748514175415},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.5733525156974792},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.5523284077644348},{"id":"https://openalex.org/keywords/floorplan","display_name":"Floorplan","score":0.5084985494613647},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4579097628593445},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4351869225502014},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4034876823425293},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.34883034229278564},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34421759843826294},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32732802629470825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27784544229507446},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2204027771949768},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1694948673248291},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10118815302848816}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8053170442581177},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6551748514175415},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.5733525156974792},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.5523284077644348},{"id":"https://openalex.org/C130145326","wikidata":"https://www.wikidata.org/wiki/Q1553985","display_name":"Floorplan","level":2,"score":0.5084985494613647},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4579097628593445},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4351869225502014},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4034876823425293},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.34883034229278564},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34421759843826294},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32732802629470825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27784544229507446},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2204027771949768},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1694948673248291},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10118815302848816},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipin.2015.7346759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin.2015.7346759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Indoor Positioning and Indoor Navigation (IPIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1546433998","https://openalex.org/W1673310716","https://openalex.org/W1677409904","https://openalex.org/W1854214752","https://openalex.org/W1981831056","https://openalex.org/W1987909411","https://openalex.org/W2040862053","https://openalex.org/W2051376734","https://openalex.org/W2054602086","https://openalex.org/W2070612136","https://openalex.org/W2085871524","https://openalex.org/W2090274112","https://openalex.org/W2091570897","https://openalex.org/W2114184519","https://openalex.org/W2123402141","https://openalex.org/W2124168655","https://openalex.org/W2130135255","https://openalex.org/W2142216726","https://openalex.org/W2146322883","https://openalex.org/W2148482829","https://openalex.org/W2159200188","https://openalex.org/W2162785138","https://openalex.org/W2164297046","https://openalex.org/W2164729653","https://openalex.org/W2166315077","https://openalex.org/W2170102584","https://openalex.org/W2289641402","https://openalex.org/W3125604733","https://openalex.org/W6637131181"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W1503094549","https://openalex.org/W4384486036","https://openalex.org/W2055008360","https://openalex.org/W135177976","https://openalex.org/W1500063550","https://openalex.org/W215057456","https://openalex.org/W2135118255","https://openalex.org/W2165891825","https://openalex.org/W2114381667"],"abstract_inverted_index":{"Availability":[0],"of":[1,18,22,38,86,104,109,118,140,147,155],"semantic-rich":[2],"indoor":[3,23,39,105],"floorplans;":[4],"where":[5],"places":[6,176],"are":[7,88],"labeled":[8],"with":[9,41,64,76],"their":[10,53],"business":[11],"names":[12],"or":[13],"categories;":[14],"enables":[15],"ubiquitous":[16],"deployment":[17],"a":[19,32,73,110,135,143],"wide":[20],"range":[21],"location-based":[24,57],"services.":[25],"In":[26,161],"this":[27],"paper,":[28],"we":[29],"present":[30],"SemSense:":[31],"crowdsourcing-based":[33],"system":[34],"for":[35,91],"automatic":[36],"enrichment":[37],"floorplans":[40],"semantic":[42,137],"labels.":[43],"SemSense":[44,87,119],"exploits":[45],"phone":[46],"sensors":[47],"data":[48,65],"collected":[49],"from":[50,67],"users":[51],"during":[52],"normal":[54],"check-ins":[55,148],"to":[56,71,157,169,180],"social":[58],"networks":[59],"(LBSNs)":[60],"and":[61],"combines":[62],"them":[63],"extracted":[66],"the":[68,84,102,153,163,175,181],"LBSNs":[69],"databases":[70],"associate":[72],"venue":[74,151],"name":[75],"its":[77],"location":[78,94],"on":[79],"an":[80],"unlabeled":[81],"floorplan.":[82],"At":[83],"core":[85],"different":[89,121],"modules":[90],"handling":[92],"incorrect":[93],"estimates,":[95],"fake":[96],"check-ins,":[97],"as":[98,100],"well":[99],"increasing":[101],"coverage":[103,165,177],"venues":[106],"by":[107],"means":[108],"novel":[111],"category":[112],"inference":[113],"technique.":[114],"Our":[115],"experimental":[116],"evaluation":[117],"using":[120,142],"Android":[122],"phones":[123],"in":[124,127,152,174],"four":[125],"malls":[126],"two":[128],"cities":[129],"shows":[130],"that":[131],"it":[132],"can":[133],"achieve":[134],"high":[136],"labeling":[138],"accuracy":[139],"87%":[141],"relatively":[144],"small":[145],"number":[146],"at":[149],"each":[150],"presence":[154],"up":[156],"50%":[158],"erroneous":[159],"check-ins.":[160],"addition,":[162],"proposed":[164],"extension":[166],"technique":[167],"leads":[168],"more":[170],"than":[171],"27%":[172],"enhancement":[173],"ratio":[178],"compared":[179],"current":[182],"LBSNs.":[183]},"counts_by_year":[{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}