{"id":"https://openalex.org/W3032880579","doi":"https://doi.org/10.1145/3396452.3396458","title":"Automatic Construction of Subject Knowledge Graph based on Educational Big Data","display_name":"Automatic Construction of Subject Knowledge Graph based on Educational Big Data","publication_year":2020,"publication_date":"2020-04-01","ids":{"openalex":"https://openalex.org/W3032880579","doi":"https://doi.org/10.1145/3396452.3396458","mag":"3032880579"},"language":"en","primary_location":{"id":"doi:10.1145/3396452.3396458","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3396452.3396458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 3rd International Conference on Big Data and Education","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/A5101639022","display_name":"Ying Su","orcid":"https://orcid.org/0000-0002-8466-0043"},"institutions":[{"id":"https://openalex.org/I4210121573","display_name":"Wuchang University of Technology","ror":"https://ror.org/02mqsna37","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210121573"]},{"id":"https://openalex.org/I4400600924","display_name":"Wuchang Shouyi University","ror":"https://ror.org/02ny5za58","country_code":null,"type":"education","lineage":["https://openalex.org/I4400600924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Su","raw_affiliation_strings":["College of Information Science and Engineering, Wuchang Shouyi University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Wuchang Shouyi University, Wuhan, China","institution_ids":["https://openalex.org/I4210121573","https://openalex.org/I4400600924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070956153","display_name":"Yong Zhang","orcid":"https://orcid.org/0000-0001-6650-6790"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhang","raw_affiliation_strings":["Computer School, Central China Normal University, Wuhan, Hubei Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer School, Central China Normal University, Wuhan, Hubei Province, China","institution_ids":["https://openalex.org/I40963666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7603,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.88010446,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"30","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","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"}},{"id":"https://openalex.org/T14347","display_name":"Big Data and Digital Economy","score":0.9678999781608582,"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/T11122","display_name":"Online Learning and Analytics","score":0.9311000108718872,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.7832280993461609},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.6932352781295776},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.6560335755348206},{"id":"https://openalex.org/keywords/encyclopedia","display_name":"Encyclopedia","score":0.6150686740875244},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5999933481216431},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5487349033355713},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.48283252120018005},{"id":"https://openalex.org/keywords/syllabus","display_name":"Syllabus","score":0.4331783652305603},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.42205584049224854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35436564683914185},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34095436334609985},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2517678737640381},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23536282777786255},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.16141223907470703},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10411256551742554}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7832280993461609},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.6932352781295776},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.6560335755348206},{"id":"https://openalex.org/C148863701","wikidata":"https://www.wikidata.org/wiki/Q5292","display_name":"Encyclopedia","level":2,"score":0.6150686740875244},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5999933481216431},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5487349033355713},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.48283252120018005},{"id":"https://openalex.org/C45504901","wikidata":"https://www.wikidata.org/wiki/Q935222","display_name":"Syllabus","level":2,"score":0.4331783652305603},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.42205584049224854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35436564683914185},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34095436334609985},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2517678737640381},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23536282777786255},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.16141223907470703},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10411256551742554},{"id":"https://openalex.org/C161191863","wikidata":"https://www.wikidata.org/wiki/Q199655","display_name":"Library science","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3396452.3396458","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3396452.3396458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 3rd International Conference on Big Data and Education","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8299999833106995,"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/W2107598941","https://openalex.org/W2165897980","https://openalex.org/W2251135946","https://openalex.org/W2804311790","https://openalex.org/W2922088890","https://openalex.org/W2947318600","https://openalex.org/W2974184401","https://openalex.org/W2995927014","https://openalex.org/W6610080458","https://openalex.org/W6657967804","https://openalex.org/W6731893077"],"related_works":["https://openalex.org/W3131699866","https://openalex.org/W2392007498","https://openalex.org/W4376104768","https://openalex.org/W2063985832","https://openalex.org/W1970019756","https://openalex.org/W2499484106","https://openalex.org/W3138636238","https://openalex.org/W2153674877","https://openalex.org/W2759364669","https://openalex.org/W3195668101"],"abstract_inverted_index":{"In":[0,41],"this":[1,42,125],"paper,":[2],"we":[3],"propose":[4],"an":[5],"automatic":[6],"construction":[7],"method":[8],"of":[9,71,88,95,97,173,202],"subject":[10,17,52,72,89,119,135,194],"knowledge":[11,18,35,73,99,120,136,145,195],"graph":[12,19,74,100],"for":[13],"educational":[14,24],"applications.":[15],"The":[16,102,159],"is":[20,50,64,92,105,112],"constructed":[21],"based":[22],"on":[23,81],"big":[25],"data":[26],"by":[27,147],"using":[28],"a":[29],"bootstrapping":[30],"strategy":[31],"to":[32,66,77,114,123,131,191],"gradually":[33],"expand":[34,115],"points":[36,146],"and":[37,61,116,138,153,169,184],"connections":[38],"between":[39,143,157],"them.":[40,158],"paper":[43,126],"two":[44],"different":[45],"datasets":[46],"are":[47,187],"used.":[48],"One":[49],"the":[51,69,79,82,86,93,98,106,118,128,134,141,144,166,170,193,200],"teaching":[53,58,90],"resources":[54,91],"such":[55],"as":[56,76,189],"syllabuses,":[57],"plans,":[59],"textbooks":[60],"etc.,":[62],"which":[63,111,198],"used":[65,113],"automatically":[67,132],"construct":[68,192],"core":[70],"so":[75],"reduce":[78],"dependence":[80],"manual":[83],"annotation.":[84],"Meanwhile":[85],"high-quality":[87],"guarantee":[94],"accuracy":[96],"core.":[101],"other":[103],"dataset":[104],"massive":[107],"Internet":[108],"encyclopedia":[109],"texts,":[110],"complete":[117],"graph.":[121],"As":[122],"algorithm,":[124],"utilizes":[127],"BERT-BiLSTM-CRF":[129,164],"model":[130],"identify":[133],"points,":[137],"then":[139],"evaluates":[140],"relationship":[142,174],"calculating":[148],"their":[149],"semantic":[150],"similarity,":[151],"PMI":[152],"Normalized":[154],"Google":[155],"Distance":[156],"experimental":[160],"results":[161],"show":[162,199],"that":[163],"outperforms":[165],"baselines":[167],"significantly,":[168],"three":[171],"kinds":[172],"evaluation":[175],"models":[176],"have":[177],"achieved":[178],"good":[179],"results.":[180],"Finally,":[181],"computer":[182],"science":[183,186],"physics":[185],"taken":[188],"examples":[190],"graphs":[196],"successfully,":[197],"effectiveness":[201],"our":[203],"method.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
