{"id":"https://openalex.org/W3171165319","doi":"https://doi.org/10.1109/cscwd49262.2021.9437840","title":"Tacit Knowledge Representation and Classification Based on Statistical Data for Production Process","display_name":"Tacit Knowledge Representation and Classification Based on Statistical Data for Production Process","publication_year":2021,"publication_date":"2021-05-05","ids":{"openalex":"https://openalex.org/W3171165319","doi":"https://doi.org/10.1109/cscwd49262.2021.9437840","mag":"3171165319"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd49262.2021.9437840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd49262.2021.9437840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5037241522","display_name":"Qihao Wan","orcid":"https://orcid.org/0000-0001-7328-9827"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qihao Wan","raw_affiliation_strings":["National CIMS Engineering Research Centre, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National CIMS Engineering Research Centre, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046080277","display_name":"Heming Zhang","orcid":"https://orcid.org/0000-0002-3171-5805"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heming Zhang","raw_affiliation_strings":["National CIMS Engineering Research Centre, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National CIMS Engineering Research Centre, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036952936","display_name":"Yiran Wang","orcid":"https://orcid.org/0009-0007-3244-3534"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiran Wang","raw_affiliation_strings":["School of information science & technology of BJFU, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of information science & technology of BJFU, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":null,"first_page":"655","last_page":"660"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9150999784469604,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9150999784469604,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T14474","display_name":"Industrial Technology and Control Systems","score":0.9000999927520752,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tacit-knowledge","display_name":"Tacit knowledge","score":0.860602855682373},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.7246530055999756},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6838699579238892},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6367526650428772},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6109325289726257},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.5498636960983276},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4987187385559082},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4410397708415985},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.43566328287124634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4228948950767517},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.3641345500946045},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13958638906478882}],"concepts":[{"id":"https://openalex.org/C2779561248","wikidata":"https://www.wikidata.org/wiki/Q743861","display_name":"Tacit knowledge","level":2,"score":0.860602855682373},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.7246530055999756},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6838699579238892},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6367526650428772},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6109325289726257},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.5498636960983276},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4987187385559082},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4410397708415985},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.43566328287124634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4228948950767517},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3641345500946045},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13958638906478882},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd49262.2021.9437840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd49262.2021.9437840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1974331852","https://openalex.org/W1989456146","https://openalex.org/W2000202953","https://openalex.org/W2017916677","https://openalex.org/W2047004335","https://openalex.org/W2075693172","https://openalex.org/W2101687080","https://openalex.org/W2498785247","https://openalex.org/W2574134800","https://openalex.org/W2785947117","https://openalex.org/W2956597053","https://openalex.org/W2968023900","https://openalex.org/W3122968508","https://openalex.org/W4240365168"],"related_works":["https://openalex.org/W2361349944","https://openalex.org/W2036641180","https://openalex.org/W2118525335","https://openalex.org/W2055387065","https://openalex.org/W2350178533","https://openalex.org/W2558208918","https://openalex.org/W2021216187","https://openalex.org/W1556773925","https://openalex.org/W1534640868","https://openalex.org/W2085812293"],"abstract_inverted_index":{"Tacit":[0],"knowledge":[1,18,48,61,84],"is":[2,35,55,87,113,126],"considered":[3],"as":[4],"an":[5,122,138],"important":[6],"information":[7],"in":[8,14,62],"many":[9],"kinds":[10],"of":[11,67,93,118,131],"fields,":[12],"essentially":[13],"manufacturing.":[15],"The":[16],"tacit":[17,41,60,119],"has":[19],"the":[20,79,91,105,132,143],"ability":[21],"to":[22,37,57,98,115,128],"improve":[23],"production":[24,28,31,63],"efficiency":[25],"and":[26,39,73,135],"ensure":[27],"quality":[29],"for":[30],"process.":[32],"However,":[33],"it":[34],"difficulty":[36],"represent":[38],"apply":[40],"knowledge.":[42,120],"In":[43],"this":[44],"paper,":[45],"a":[46,83,100],"novel":[47],"representation":[49,81],"model":[50,134],"based":[51,77],"on":[52,78],"statistical":[53,94],"data":[54],"proposed":[56,80,133],"visually":[58],"describe":[59],"process,":[64],"which":[65,89],"consists":[66],"three":[68],"elements,":[69],"including":[70],"attribute,":[71],"input":[72],"output":[74],"element.":[75],"Moreover,":[76],"model,":[82],"classification":[85,117,149],"method":[86],"developed,":[88],"considers":[90],"collaboration":[92],"data.":[95],"For":[96],"solution":[97],"classification,":[99],"collaborative":[101,151],"multi-objective":[102],"optimization":[103],"algorithm,":[104],"Collaborative":[106],"Non-dominated":[107],"Sorting":[108],"Genetic":[109],"Algorithm":[110],"II":[111],"(CNSGA-II),":[112],"designed":[114],"optimize":[116],"Furthermore,":[121],"industrial":[123],"case":[124],"study":[125],"reported":[127],"show":[129],"details":[130],"method.":[136],"Finally,":[137],"experimental":[139],"comparison":[140],"demonstrates":[141],"that":[142],"algorithm":[144],"can":[145],"achieve":[146],"efficient":[147],"optimized":[148],"with":[150],"objectives.":[152]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}