{"id":"https://openalex.org/W3217594850","doi":"https://doi.org/10.1109/etfa45728.2021.9613314","title":"Link Prediction with Supervised Learning on an Industry 4.0 related Knowledge Graph","display_name":"Link Prediction with Supervised Learning on an Industry 4.0 related Knowledge Graph","publication_year":2021,"publication_date":"2021-09-07","ids":{"openalex":"https://openalex.org/W3217594850","doi":"https://doi.org/10.1109/etfa45728.2021.9613314","mag":"3217594850"},"language":"en","primary_location":{"id":"doi:10.1109/etfa45728.2021.9613314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa45728.2021.9613314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )","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/A5001084075","display_name":"Irl\u00e1n Grangel-Gonz\u00e1lez","orcid":"https://orcid.org/0000-0001-8460-4132"},"institutions":[{"id":"https://openalex.org/I889804353","display_name":"Robert Bosch (Germany)","ror":"https://ror.org/01fe0jt45","country_code":"DE","type":"company","lineage":["https://openalex.org/I889804353"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Irlan Grangel-Gonzalez","raw_affiliation_strings":["Robert Bosch Corporate Research, Renningen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robert Bosch Corporate Research, Renningen, Germany","institution_ids":["https://openalex.org/I889804353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030208769","display_name":"Fasal Shah","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151956","display_name":"Robert Bosch (India)","ror":"https://ror.org/04my8ty22","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210151956","https://openalex.org/I889804353"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Fasal Shah","raw_affiliation_strings":["Robert Bosch Engineering and Business Solutions Private Limited, Karnataka, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robert Bosch Engineering and Business Solutions Private Limited, Karnataka, India","institution_ids":["https://openalex.org/I4210151956"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4198,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7082693,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11719","display_name":"Data Quality and Management","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision 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":0.7403072714805603},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.7025105357170105},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.6311328411102295},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5785272121429443},{"id":"https://openalex.org/keywords/knowledge-integration","display_name":"Knowledge integration","score":0.5507513284683228},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48661431670188904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4500827193260193},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.432589054107666},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.4222540557384491},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4139321744441986},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.40775686502456665},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32199424505233765},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.30260923504829407}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7403072714805603},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.7025105357170105},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.6311328411102295},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5785272121429443},{"id":"https://openalex.org/C56289545","wikidata":"https://www.wikidata.org/wiki/Q6423376","display_name":"Knowledge integration","level":3,"score":0.5507513284683228},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48661431670188904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4500827193260193},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.432589054107666},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.4222540557384491},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4139321744441986},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.40775686502456665},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32199424505233765},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30260923504829407}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/etfa45728.2021.9613314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa45728.2021.9613314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W327576307","https://openalex.org/W1894704206","https://openalex.org/W2151498529","https://openalex.org/W2153896900","https://openalex.org/W2763245628","https://openalex.org/W2768375068","https://openalex.org/W2887853521","https://openalex.org/W2899490129","https://openalex.org/W2962756421","https://openalex.org/W2964221236","https://openalex.org/W2990816204","https://openalex.org/W3003897916","https://openalex.org/W3014062023","https://openalex.org/W3090047606","https://openalex.org/W3092084867","https://openalex.org/W3094494382","https://openalex.org/W3096901898","https://openalex.org/W3101157305","https://openalex.org/W3112618978","https://openalex.org/W3130784583","https://openalex.org/W3165947834","https://openalex.org/W3209950273","https://openalex.org/W4214926090","https://openalex.org/W4287750256","https://openalex.org/W4289740448","https://openalex.org/W6611208187","https://openalex.org/W6640462745","https://openalex.org/W6753671225","https://openalex.org/W6756275745","https://openalex.org/W6775445775","https://openalex.org/W6780405792","https://openalex.org/W6786900458"],"related_works":["https://openalex.org/W4292070284","https://openalex.org/W4386298164","https://openalex.org/W4312933959","https://openalex.org/W2600782034","https://openalex.org/W2730137533","https://openalex.org/W4229080059","https://openalex.org/W2794935599","https://openalex.org/W4286257253","https://openalex.org/W2347609394","https://openalex.org/W2916853871"],"abstract_inverted_index":{"Industry":[0,65,160],"4.0":[1,66,161],"requires":[2],"the":[3,46,57,64,75,78,89,107,144,148,152,159],"integration":[4,51],"of":[5,48,52,60,77,91,106,124],"many":[6],"actors":[7,27],"to":[8,15,19,29,42,136,158],"provide":[9],"correct,":[10],"personalized,":[11],"and":[12,33,70],"quick":[13],"answers":[14],"customers.":[16],"In":[17,35,84,110],"order":[18],"meet":[20],"this":[21,85],"integration,":[22],"data":[23,50,54,80],"coming":[24],"from":[25],"different":[26],"demand":[28],"be":[30,43],"semantically":[31],"integrated":[32,79],"harmonized.":[34],"these":[36],"settings,":[37],"knowledge":[38,61,92,108,132,145,153],"graphs":[39,62],"have":[40],"proven":[41],"successful":[44],"in":[45,63,143,151],"task":[47],"semantic":[49],"distinct":[53],"silos.":[55],"Despite":[56],"increasing":[58],"adoption":[59],"domain":[67],"for":[68],"integrating":[69],"harmonizing":[71],"data,":[72],"still,":[73],"all":[74],"power":[76],"is":[81],"not":[82],"exploited.":[83],"article,":[86],"we":[87],"tackle":[88],"problem":[90],"graph":[93,133,154],"completion":[94,134],"presenting":[95],"an":[96,122],"approach":[97],"that":[98,115,131],"applies":[99],"supervised":[100,116],"machine":[101,117],"learning":[102,118],"algorithms":[103,119],"on":[104],"top":[105],"graph.":[109,146],"general,":[111],"observed":[112],"results":[113],"indicate":[114],"perform":[120],"with":[121],"AUC":[123],"more":[125],"than":[126],"88%.":[127],"These":[128],"outcomes":[129],"suggest":[130],"enables":[135],"unveil":[137],"new":[138],"relations":[139,150],"by":[140],"connecting":[141],"entities":[142],"Thus,":[147],"discovered":[149],"bring":[155],"added":[156],"value":[157],"domain.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
