{"id":"https://openalex.org/W4214949403","doi":"https://doi.org/10.3390/e24030363","title":"A Method of Domain Dictionary Construction for Electric Vehicles Disassembly","display_name":"A Method of Domain Dictionary Construction for Electric Vehicles Disassembly","publication_year":2022,"publication_date":"2022-03-03","ids":{"openalex":"https://openalex.org/W4214949403","doi":"https://doi.org/10.3390/e24030363","pmid":"https://pubmed.ncbi.nlm.nih.gov/35327874"},"language":"en","primary_location":{"id":"doi:10.3390/e24030363","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24030363","pdf_url":"https://www.mdpi.com/1099-4300/24/3/363/pdf?version=1646373870","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/24/3/363/pdf?version=1646373870","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101926710","display_name":"Wei Ren","orcid":"https://orcid.org/0000-0002-9226-3179"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Ren","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China"],"raw_orcid":"https://orcid.org/0000-0002-9226-3179","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101724477","display_name":"Hengwei Zhang","orcid":"https://orcid.org/0000-0002-4929-7445"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengwei Zhang","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000326867","display_name":"Ming Chen","orcid":"https://orcid.org/0000-0003-2075-0282"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ming Chen","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China"],"raw_orcid":"https://orcid.org/0000-0003-2075-0282","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5000326867"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":0.6968,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.73229396,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"24","issue":"3","first_page":"363","last_page":"363"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9758999943733215,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9758999943733215,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9401000142097473,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9110999703407288,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.7854452133178711},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.707180380821228},{"id":"https://openalex.org/keywords/terminology","display_name":"Terminology","score":0.6578160524368286},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5866840481758118},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5509421825408936},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5449278950691223},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5091239809989929},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.49378880858421326},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4711633622646332},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4692749083042145},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.4283286929130554},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38557639718055725},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3510048985481262},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33634471893310547},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09918096661567688}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7854452133178711},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.707180380821228},{"id":"https://openalex.org/C547195049","wikidata":"https://www.wikidata.org/wiki/Q1725664","display_name":"Terminology","level":2,"score":0.6578160524368286},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5866840481758118},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5509421825408936},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5449278950691223},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5091239809989929},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.49378880858421326},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4711633622646332},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4692749083042145},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.4283286929130554},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38557639718055725},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3510048985481262},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33634471893310547},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09918096661567688},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e24030363","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24030363","pdf_url":"https://www.mdpi.com/1099-4300/24/3/363/pdf?version=1646373870","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:35327874","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35327874","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:9efa20b0f07d4101b8af4dc72980b68e","is_oa":true,"landing_page_url":"https://doaj.org/article/9efa20b0f07d4101b8af4dc72980b68e","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 24, Iss 3, p 363 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/24/3/363/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e24030363","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 24; Issue 3; Pages: 363","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8947409","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8947409","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e24030363","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24030363","pdf_url":"https://www.mdpi.com/1099-4300/24/3/363/pdf?version=1646373870","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7099999785423279,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4214949403.pdf"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W2062776777","https://openalex.org/W2064418625","https://openalex.org/W2137956764","https://openalex.org/W2175961425","https://openalex.org/W2391933678","https://openalex.org/W2527796342","https://openalex.org/W2531783162","https://openalex.org/W2604520536","https://openalex.org/W2605948732","https://openalex.org/W2606264833","https://openalex.org/W2747305729","https://openalex.org/W2750811310","https://openalex.org/W2772515592","https://openalex.org/W2794450548","https://openalex.org/W2892951213","https://openalex.org/W2943765965","https://openalex.org/W2945580564","https://openalex.org/W2974528752","https://openalex.org/W2983762108","https://openalex.org/W3042905729","https://openalex.org/W3089164781","https://openalex.org/W3122722952","https://openalex.org/W3175287518","https://openalex.org/W3202647833","https://openalex.org/W3203713416","https://openalex.org/W3205070129","https://openalex.org/W6631501603","https://openalex.org/W6749520967","https://openalex.org/W6755398941","https://openalex.org/W6780705126"],"related_works":["https://openalex.org/W2352298027","https://openalex.org/W4319940250","https://openalex.org/W842810586","https://openalex.org/W2092919065","https://openalex.org/W4236762297","https://openalex.org/W3138801416","https://openalex.org/W2369351710","https://openalex.org/W2594363579","https://openalex.org/W2169232658","https://openalex.org/W2444550338"],"abstract_inverted_index":{"Currently,":[0],"there":[1],"is":[2,30,47,69,122,249],"no":[3],"domain":[4,15,39,85,141,237],"dictionary":[5,16,40,98,142,238],"in":[6,166,216,240],"the":[7,28,35,42,70,114,130,140,145,174,184,217,223,241,252],"field":[8,242],"of":[9,37,44,72,109,116,159,196,243,245],"electric":[10,45,246],"vehicles":[11,46,247],"disassembly":[12,25,43,84,161,175,185,187,189,191,197,218,244],"and":[13,32,61,80,82,88,137,152,164,177,193,209,226],"other":[14,83,194],"construction":[17,36,99,239],"algorithms":[18,204,215,225],"do":[19],"not":[20],"accurately":[21],"extract":[22],"terminology":[23,29,259],"from":[24,59,113],"text,":[26],"because":[27],"complex":[31],"variable.":[33],"Herein,":[34],"a":[38,48,95,125,170,234,257],"for":[41,236],"research":[49,54],"work":[50,232],"that":[51,105,202,248],"has":[52],"important":[53],"significance.":[55],"Extracting":[56],"high-quality":[57],"keywords":[58,112,151],"text":[60,115],"categorizing":[62],"them":[63],"widely":[64],"uses":[65],"information":[66,86,148,176],"mining,":[67],"which":[68],"basis":[71],"named":[73],"entity":[74],"recognition,":[75],"relation":[76],"extraction,":[77],"knowledge":[78],"questions":[79],"answers":[81],"recognition":[87,121],"extraction.":[89],"In":[90],"this":[91],"paper,":[92],"we":[93,156],"propose":[94],"supervised":[96],"learning":[97],"algorithm":[100],"based":[101,143,250],"on":[102,144,251],"multi-dimensional":[103],"features":[104,108],"combines":[106],"different":[107],"extraction":[110,208],"candidate":[111],"each":[117,135],"scientific":[118],"study.":[119],"Keywords":[120],"regarded":[123],"as":[124],"binary":[126],"classification":[127],"problem":[128],"using":[129,256],"LightGBM":[131],"model":[132,181],"to":[133,168,182,228],"filter":[134],"keyword,":[136],"then":[138,178],"expand":[139],"pointwise":[146],"mutual":[147],"value":[149],"between":[150],"its":[153],"category.":[154],"Here,":[155],"make":[157],"use":[158,179],"Chinese":[160],"manuals,":[162],"patents":[163],"papers":[165],"order":[167],"establish":[169],"general":[171],"corpus":[172],"about":[173],"our":[180,203],"mine":[183],"parts,":[186],"tools,":[188],"methods,":[190],"process,":[192],"categories":[195],"keywords.":[198],"The":[199],"experiment":[200],"evidenced":[201],"can":[205],"significantly":[206],"improve":[207],"category":[210],"performance":[211,224],"better":[212],"than":[213],"traditional":[214],"domain.":[219],"We":[220],"also":[221],"investigated":[222],"attempts":[227],"describe":[229],"them.":[230],"Our":[231],"sets":[233],"benchmark":[235],"newly":[253],"developed":[254],"dataset":[255],"multi-class":[258],"classification.":[260]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
