{"id":"https://openalex.org/W4281727039","doi":"https://doi.org/10.1108/ajim-03-2022-0129","title":"Extracting entity relations for \u201cproblem-solving\u201d knowledge graph of scientific domains using word analogy","display_name":"Extracting entity relations for \u201cproblem-solving\u201d knowledge graph of scientific domains using word analogy","publication_year":2022,"publication_date":"2022-06-08","ids":{"openalex":"https://openalex.org/W4281727039","doi":"https://doi.org/10.1108/ajim-03-2022-0129"},"language":"en","primary_location":{"id":"doi:10.1108/ajim-03-2022-0129","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ajim-03-2022-0129","pdf_url":null,"source":{"id":"https://openalex.org/S4210181081","display_name":"Aslib Journal of Information Management","issn_l":"2050-3806","issn":["2050-3806","2050-3814"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Aslib Journal of Information Management","raw_type":"journal-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/A5055361870","display_name":"Guo Chen","orcid":"https://orcid.org/0000-0003-4895-9192"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo Chen","raw_affiliation_strings":["Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005587998","display_name":"Jiabin Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiabin Peng","raw_affiliation_strings":["Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016813947","display_name":"Tianxiang Xu","orcid":"https://orcid.org/0000-0002-5492-0959"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianxiang Xu","raw_affiliation_strings":["Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027338179","display_name":"Lu Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I137056471","display_name":"Nanjing University of Finance and Economics","ror":"https://ror.org/031y8am81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137056471"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Xiao","raw_affiliation_strings":["School of Journalism, Nanjing University of Finance and Economics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-5485-1407","affiliations":[{"raw_affiliation_string":"School of Journalism, Nanjing University of Finance and Economics, Nanjing, China","institution_ids":["https://openalex.org/I137056471"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.837,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.87254489,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"75","issue":"3","first_page":"481","last_page":"499"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9975000023841858,"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/T10028","display_name":"Topic Modeling","score":0.9975000023841858,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9919000267982483,"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/T10260","display_name":"Software Engineering Research","score":0.983299970626831,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7490970492362976},{"id":"https://openalex.org/keywords/analogy","display_name":"Analogy","score":0.6688622832298279},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.5921095609664917},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5575053691864014},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45919549465179443},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4405588209629059},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4241231381893158},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36675894260406494},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32552242279052734},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.23679843544960022}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7490970492362976},{"id":"https://openalex.org/C521332185","wikidata":"https://www.wikidata.org/wiki/Q185816","display_name":"Analogy","level":2,"score":0.6688622832298279},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.5921095609664917},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5575053691864014},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45919549465179443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4405588209629059},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4241231381893158},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36675894260406494},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32552242279052734},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.23679843544960022},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/ajim-03-2022-0129","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ajim-03-2022-0129","pdf_url":null,"source":{"id":"https://openalex.org/S4210181081","display_name":"Aslib Journal of Information Management","issn_l":"2050-3806","issn":["2050-3806","2050-3814"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Aslib Journal of Information Management","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W115166160","https://openalex.org/W1888026739","https://openalex.org/W1944056442","https://openalex.org/W2039914071","https://openalex.org/W2107598941","https://openalex.org/W2127795553","https://openalex.org/W2141599568","https://openalex.org/W2168565044","https://openalex.org/W2250189634","https://openalex.org/W2251320462","https://openalex.org/W2251532992","https://openalex.org/W2460442863","https://openalex.org/W2572487292","https://openalex.org/W2578303372","https://openalex.org/W2613111960","https://openalex.org/W2745571490","https://openalex.org/W2753023842","https://openalex.org/W2754134677","https://openalex.org/W2770567674","https://openalex.org/W2786175397","https://openalex.org/W2795770770","https://openalex.org/W2796111924","https://openalex.org/W2889399843","https://openalex.org/W2894170875","https://openalex.org/W2905471643","https://openalex.org/W2911201398","https://openalex.org/W2935052563","https://openalex.org/W2953641512","https://openalex.org/W2970218469","https://openalex.org/W2972140869","https://openalex.org/W2976980910","https://openalex.org/W2985521958","https://openalex.org/W3044968736","https://openalex.org/W3088164486","https://openalex.org/W3092095014","https://openalex.org/W3093764349","https://openalex.org/W3099128825","https://openalex.org/W3102488924","https://openalex.org/W3104333731","https://openalex.org/W3144215978","https://openalex.org/W3172040957"],"related_works":["https://openalex.org/W2392206215","https://openalex.org/W2365201483","https://openalex.org/W2355561779","https://openalex.org/W2352407775","https://openalex.org/W2186567693","https://openalex.org/W108701362","https://openalex.org/W2469799552","https://openalex.org/W2768582344","https://openalex.org/W2615704157","https://openalex.org/W176509374"],"abstract_inverted_index":{"Purpose":[0],"Problem-solving\u201d":[1],"is":[2,154],"the":[3,16,65,93,131,134],"most":[4],"crucial":[5],"key":[6],"insight":[7],"of":[8,20,64,78,95,104,133,164,178],"scientific":[9,21,48],"research.":[10],"This":[11,37,83,121,148],"study":[12],"focuses":[13],"on":[14,51,166],"constructing":[15,138],"\u201cproblem-solving\u201d":[17],"knowledge":[18,140,188],"graph":[19],"domains":[22],"by":[23,73],"extracting":[24],"four":[25],"entity":[26,80,105,179],"relation":[27,106],"types:":[28],"problem-solving,":[29],"problem":[30,108],"hierarchy,":[31,109,113],"solution":[32,112],"hierarchy":[33],"and":[34,56,67,70,97,111,118,142,157],"association.":[35],"Design/methodology/approach":[36],"paper":[38,84,122,149],"presents":[39,85],"a":[40,75,159,167,175],"low-cost":[41],"method":[42],"for":[43],"identifying":[44],"these":[45],"relationships":[46],"in":[47,137],"papers":[49,91],"based":[50],"word":[52],"analogy.":[53],"The":[54,101],"problem-solving":[55,110],"hierarchical":[57],"relations":[58,136,180],"are":[59],"represented":[60],"as":[61,126],"offset":[62],"vectors":[63],"head":[66],"tail":[68],"entities":[69],"then":[71],"classified":[72],"referencing":[74],"small":[76,176],"set":[77,177],"predefined":[79],"relations.":[81],"Findings":[82],"an":[86,127,151],"experiment":[87],"with":[88],"artificial":[89],"intelligence":[90],"from":[92,186],"Web":[94],"Science":[96],"achieved":[98],"good":[99,160],"performance.":[100],"F1":[102],"scores":[103],"types":[107],"which":[114],"were":[115],"0.823,":[116],"0.815":[117],"0.748,":[119],"respectively.":[120],"used":[123],"computer":[124],"vision":[125],"example":[128],"to":[129],"demonstrate":[130],"application":[132],"extracted":[135,185],"domain":[139],"graphs":[141],"revealing":[143],"historical":[144],"research":[145],"trends.":[146],"Originality/value":[147],"uses":[150],"approach":[152],"that":[153,181],"highly":[155],"efficient":[156],"has":[158],"generalization":[161],"ability.":[162],"Instead":[163],"relying":[165],"large-scale":[168],"manually":[169],"annotated":[170],"corpus,":[171],"it":[172],"only":[173],"requires":[174],"can":[182],"be":[183],"easily":[184],"external":[187],"resources.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}