{"id":"https://openalex.org/W2046496699","doi":"https://doi.org/10.1080/08839519408945458","title":"FIELDED MACHINE LEARNING SYSTEM FOR VOCATIONAL COUNSELLING","display_name":"FIELDED MACHINE LEARNING SYSTEM FOR VOCATIONAL COUNSELLING","publication_year":1994,"publication_date":"1994-10-01","ids":{"openalex":"https://openalex.org/W2046496699","doi":"https://doi.org/10.1080/08839519408945458","mag":"2046496699"},"language":"en","primary_location":{"id":"doi:10.1080/08839519408945458","is_oa":false,"landing_page_url":"https://doi.org/10.1080/08839519408945458","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5006563464","display_name":"Harald Kjellin","orcid":null},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"HARALD KJELLIN","raw_affiliation_strings":["Department of Computer and Systems Sciences , University of Stockholm and the Royal Institute of Technology , Kista,  Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Systems Sciences , University of Stockholm and the Royal Institute of Technology , Kista,  Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021753785","display_name":"Magnus Boman","orcid":"https://orcid.org/0000-0001-7949-1815"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"MAGNUS BOMAN","raw_affiliation_strings":["Department of Computer and Systems Sciences , University of Stockholm and the Royal Institute of Technology , Kista,  Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Systems Sciences , University of Stockholm and the Royal Institute of Technology , Kista,  Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006563464"],"corresponding_institution_ids":["https://openalex.org/I86987016"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":0.5451,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74322144,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8","issue":"4","first_page":"543","last_page":"563"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9884999990463257,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9884999990463257,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9853000044822693,"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/T10320","display_name":"Neural Networks and Applications","score":0.9829999804496765,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8604263067245483},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.7242873311042786},{"id":"https://openalex.org/keywords/knowledge-acquisition","display_name":"Knowledge acquisition","score":0.5599445700645447},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.5545639991760254},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5380112528800964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5340824127197266},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5028335452079773},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.45787569880485535},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.4508048892021179},{"id":"https://openalex.org/keywords/vocational-education","display_name":"Vocational education","score":0.43451473116874695},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.32546213269233704}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8604263067245483},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.7242873311042786},{"id":"https://openalex.org/C2777220311","wikidata":"https://www.wikidata.org/wiki/Q6423340","display_name":"Knowledge acquisition","level":2,"score":0.5599445700645447},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.5545639991760254},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5380112528800964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5340824127197266},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5028335452079773},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.45787569880485535},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.4508048892021179},{"id":"https://openalex.org/C668760","wikidata":"https://www.wikidata.org/wiki/Q6869278","display_name":"Vocational education","level":2,"score":0.43451473116874695},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.32546213269233704},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/08839519408945458","is_oa":false,"landing_page_url":"https://doi.org/10.1080/08839519408945458","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W7803231","https://openalex.org/W199743680","https://openalex.org/W1573778215","https://openalex.org/W1579055868","https://openalex.org/W1977264869","https://openalex.org/W2041817875","https://openalex.org/W2061954183","https://openalex.org/W2077789192","https://openalex.org/W2125900646","https://openalex.org/W3022436500","https://openalex.org/W4301139880"],"related_works":["https://openalex.org/W2086580554","https://openalex.org/W2126191795","https://openalex.org/W2170990285","https://openalex.org/W2083849133","https://openalex.org/W2125479495","https://openalex.org/W32894952","https://openalex.org/W2592721119","https://openalex.org/W2182624247","https://openalex.org/W2381179229","https://openalex.org/W1981711800"],"abstract_inverted_index":{"Abstract":[0],"A":[1],"fielded":[2],"machine":[3,45],"learning":[4,13,46],"system":[5,26],"for":[6,48,59],"vocational":[7],"counselling":[8],"is":[9,14,57,83],"presented":[10,120],"in":[11,22,70,95,112],"which":[12],"based":[15],"on":[16,20],"adjustments":[17],"of":[18,33,44,64,102,124,145],"weights":[19,34],"links":[21],"a":[23,29,142],"network.":[24],"The":[25,55,116,133],"exemplifies":[27],"how":[28],"specific":[30],"representation,":[31],"consisting":[32],"assigned":[35],"to":[36,79,97,140],"associations":[37],"between":[38],"keywords,":[39],"enables":[40],"the":[41,62,100,113],"effective":[42],"use":[43],"algorithms":[47,119,136],"acquiring":[49],"and":[50,89,128],"continually":[51],"refining":[52],"domain":[53,131,147],"knowledge.":[54,132,148],"representation":[56],"designed":[58],"coping":[60,125],"with":[61,126],"types":[63],"knowledge":[65,76,90,104,114,117,134],"that":[66,74],"can":[67],"be":[68],"found":[69],"weak":[71],"theory":[72],"domains,":[73],"is,":[75],"too":[77],"difficult":[78],"formalize":[80],"because":[81],"it":[82],"incomplete":[84,127],"or":[85,108],"vague.":[86],"Knowledge":[87],"acquisition":[88,118],"refinement":[91,135,144],"processes":[92],"are":[93,122,137],"automated":[94],"order":[96],"efficiently":[98],"decrease":[99],"effect":[101],"unreliable":[103],"caused":[105],"by":[106],"unknown":[107],"unspecified":[109],"biases":[110],"inherent":[111],"sources.":[115],"here":[121],"capable":[123],"vaguely":[129],"defined":[130],"used":[138],"on-line":[139],"enable":[141],"continuous":[143],"ill-defined":[146]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
