{"id":"https://openalex.org/W3118597558","doi":"https://doi.org/10.3233/faia200830","title":"Application of a Heterogeneous Correlation Integration Method to a Context Cube Network Semantic Model for Railway Passengers","display_name":"Application of a Heterogeneous Correlation Integration Method to a Context Cube Network Semantic Model for Railway Passengers","publication_year":2020,"publication_date":"2020-12-16","ids":{"openalex":"https://openalex.org/W3118597558","doi":"https://doi.org/10.3233/faia200830","mag":"3118597558"},"language":"en","primary_location":{"id":"doi:10.3233/faia200830","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia200830","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA200830","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA200830","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041285009","display_name":"Motoki Yokoyama","orcid":null},"institutions":[{"id":"https://openalex.org/I203737432","display_name":"East Japan Railway (Japan)","ror":"https://ror.org/00mh5ga26","country_code":"JP","type":"company","lineage":["https://openalex.org/I203737432"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Motoki Yokoyama","raw_affiliation_strings":["Research and Development Center of JR East Group, East Japan Railway Company"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research and Development Center of JR East Group, East Japan Railway Company","institution_ids":["https://openalex.org/I203737432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019351299","display_name":"Yasushi Kiyoki","orcid":null},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasushi Kiyoki","raw_affiliation_strings":["Graduate School of Media and Governance, Keio University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Media and Governance, Keio University, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067920689","display_name":"Tetsuya Mita","orcid":null},"institutions":[{"id":"https://openalex.org/I203737432","display_name":"East Japan Railway (Japan)","ror":"https://ror.org/00mh5ga26","country_code":"JP","type":"company","lineage":["https://openalex.org/I203737432"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Mita","raw_affiliation_strings":["Research and Development Center of JR East Group, East Japan Railway Company"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research and Development Center of JR East Group, East Japan Railway Company","institution_ids":["https://openalex.org/I203737432"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38012177,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13382","display_name":"Robotics and Automated Systems","score":0.23770000040531158,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13382","display_name":"Robotics and Automated Systems","score":0.23770000040531158,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.09719999879598618,"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"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.03449999913573265,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6505769491195679},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6023848652839661},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5851683020591736},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5672945976257324},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4421645700931549},{"id":"https://openalex.org/keywords/cube","display_name":"Cube (algebra)","score":0.4408068060874939},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39090877771377563},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.24655941128730774},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20102232694625854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.107463538646698},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09204193949699402}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6505769491195679},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6023848652839661},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5851683020591736},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5672945976257324},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4421645700931549},{"id":"https://openalex.org/C53051483","wikidata":"https://www.wikidata.org/wiki/Q861555","display_name":"Cube (algebra)","level":2,"score":0.4408068060874939},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39090877771377563},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.24655941128730774},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20102232694625854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.107463538646698},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09204193949699402},{"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia200830","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia200830","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA200830","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia200830","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia200830","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA200830","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3118597558.pdf","grobid_xml":"https://content.openalex.org/works/W3118597558.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W19399978","https://openalex.org/W52230738","https://openalex.org/W599521110","https://openalex.org/W642114130","https://openalex.org/W1882088395","https://openalex.org/W2017991112","https://openalex.org/W2052626679","https://openalex.org/W2395226644","https://openalex.org/W2585843291","https://openalex.org/W2600346986","https://openalex.org/W2737110546","https://openalex.org/W2913578690","https://openalex.org/W4234816175"],"related_works":["https://openalex.org/W4283690284","https://openalex.org/W3180808905","https://openalex.org/W3036649287","https://openalex.org/W268440552","https://openalex.org/W2940348078","https://openalex.org/W597131776","https://openalex.org/W2899720274","https://openalex.org/W3006067695","https://openalex.org/W2074150133","https://openalex.org/W1991458568"],"abstract_inverted_index":{"In":[0,68],"recent":[1],"years,":[2],"with":[3],"the":[4,17,50,65,77,83,105,117,124,131,136],"development":[5],"of":[6,32,64,99,135],"information":[7,18],"technology,":[8],"many":[9],"cyber-physical":[10,35],"systems,":[11],"in":[12],"which":[13,53],"real":[14],"space":[15,19,85],"and":[16,25,40,43,58,86,102,120,133],"are":[20],"linked":[21],"for":[22,82,104],"data":[23,75],"acquisition":[24],"analysis,":[26],"have":[27],"been":[28],"constructed.":[29],"The":[30],"purpose":[31],"constructing":[33],"a":[34,73,87,111,127],"system":[36,114],"is":[37,49],"to":[38,55],"solve":[39],"improve":[41],"social":[42,66],"environmental":[44],"problems.":[45],"An":[46],"important":[47],"target":[48],"railway":[51,84,106],"space,":[52],"aims":[54],"provide":[56],"safe":[57],"stable":[59],"transportation":[60],"services":[61],"as":[62],"part":[63],"infrastructure.":[67],"this":[69],"paper,":[70],"we":[71,109,129],"propose":[72],"new":[74],"model,":[76],"\u201cContext":[78],"Cube":[79],"Semantic":[80],"Network\u201d,":[81],"metric":[88],"method":[89,119],"that":[90,115],"employs":[91],"an":[92],"integrated":[93],"scale":[94],"based":[95],"on":[96],"heterogeneous":[97],"correlations":[98],"purpose,":[100],"sensibility,":[101],"distance":[103],"space.":[107],"Furthermore,":[108],"constructed":[110],"station":[112],"guidance":[113],"implements":[116],"proposed":[118],"evaluates":[121],"subjects":[122],"at":[123],"station.":[125],"As":[126],"result,":[128],"clarified":[130],"effectiveness":[132],"applicability":[134],"system.":[137]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}