{"id":"https://openalex.org/W4416249600","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228621","title":"Distribution-Guided Extraction for Cross-Platform Educational Knowledge Graph Construction","display_name":"Distribution-Guided Extraction for Cross-Platform Educational Knowledge Graph Construction","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416249600","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228621"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11228621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5113307436","display_name":"Youyi Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Youyi Huang","raw_affiliation_strings":["Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005165463","display_name":"Honglong Chen","orcid":"https://orcid.org/0000-0003-0739-6338"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honglong Chen","raw_affiliation_strings":["Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120701072","display_name":"Junhui Kuang","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhui Kuang","raw_affiliation_strings":["Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101623002","display_name":"Jianye Fu","orcid":"https://orcid.org/0000-0001-9072-9249"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianye Fu","raw_affiliation_strings":["Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100947463","display_name":"Shubin Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shubin Cai","raw_affiliation_strings":["Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033128202","display_name":"Ming Zhong","orcid":"https://orcid.org/0000-0001-9376-818X"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Ming","raw_affiliation_strings":["Laboratory of Artificial Intelligence and Digital Economy (Shenzhen),Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Artificial Intelligence and Digital Economy (Shenzhen),Shenzhen,China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5113307436"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.47384757,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.4415999948978424,"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"}},"topics":[{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.4415999948978424,"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/T10028","display_name":"Topic Modeling","score":0.0957999974489212,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.034299999475479126,"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/snippet","display_name":"Snippet","score":0.8073999881744385},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.7682999968528748},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5530999898910522},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5394999980926514},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4781000018119812},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.47269999980926514},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.460999995470047},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.39399999380111694}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8216999769210815},{"id":"https://openalex.org/C2777822670","wikidata":"https://www.wikidata.org/wiki/Q1120538","display_name":"Snippet","level":2,"score":0.8073999881744385},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.7682999968528748},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5530999898910522},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5394999980926514},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4781000018119812},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.47269999980926514},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.460999995470047},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.39399999380111694},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37959998846054077},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.37369999289512634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3716000020503998},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36970001459121704},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3441999852657318},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33340001106262207},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3127000033855438},{"id":"https://openalex.org/C118643609","wikidata":"https://www.wikidata.org/wiki/Q189210","display_name":"Web application","level":2,"score":0.3057999908924103},{"id":"https://openalex.org/C2777220311","wikidata":"https://www.wikidata.org/wiki/Q6423340","display_name":"Knowledge acquisition","level":2,"score":0.29429998993873596},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.29089999198913574},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C2988963302","wikidata":"https://www.wikidata.org/wiki/Q629206","display_name":"Program code","level":2,"score":0.267300009727478},{"id":"https://openalex.org/C2776245389","wikidata":"https://www.wikidata.org/wiki/Q962139","display_name":"Programming style","level":2,"score":0.2660999894142151},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.26350000500679016}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11228621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325571","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2101105183","https://openalex.org/W2161861392","https://openalex.org/W2759136286","https://openalex.org/W4379382656","https://openalex.org/W4390692489","https://openalex.org/W4401039017","https://openalex.org/W4401943272","https://openalex.org/W4402665833","https://openalex.org/W4402674257","https://openalex.org/W4402684119","https://openalex.org/W4404781305","https://openalex.org/W4407596815","https://openalex.org/W4411630045","https://openalex.org/W4412887940"],"related_works":[],"abstract_inverted_index":{"The":[0,120],"automated":[1],"construction":[2],"of":[3,19,138,143,150],"educational":[4,128,162],"knowledge":[5,122,163],"graphs":[6],"from":[7],"programming":[8,112],"tutorial":[9,113],"websites":[10,114],"faces":[11],"significant":[12],"challenges":[13],"due":[14],"to":[15,108],"the":[16,24,148],"heterogeneous":[17],"nature":[18],"web":[20],"content":[21],"structures":[22],"and":[23,30,57,118,140],"complex":[25],"relationships":[26],"between":[27],"code":[28,102],"snippets":[29],"their":[31],"contextual":[32],"information.":[33],"While":[34],"existing":[35],"approaches":[36],"rely":[37],"heavily":[38],"on":[39],"either":[40],"manual":[41,85],"rule":[42],"crafting":[43],"or":[44],"direct":[45],"large":[46],"language":[47],"model":[48],"(LLM)":[49],"processing,":[50],"both":[51],"methods":[52],"struggle":[53],"with":[54,155],"cross-platform":[55,161],"scalability":[56],"extraction":[58,65,79,104,157],"accuracy.":[59],"We":[60],"present":[61],"a":[62,98,126,132],"novel":[63],"distribution-guided":[64],"approach":[66,82],"that":[67,130],"systematically":[68],"analyzes":[69],"HTML":[70],"structural":[71],"patterns":[72],"through":[73],"strategic":[74],"sampling":[75],"before":[76],"deploying":[77],"LLM-based":[78],"scripts.":[80],"This":[81],"significantly":[83],"reduces":[84],"engineering":[86],"effort":[87],"while":[88],"maintaining":[89],"high":[90],"accuracy":[91,105],"across":[92,110],"diverse":[93],"platforms.":[94],"Our":[95],"method":[96],"achieves":[97],"substantial":[99],"improvement":[100],"in":[101],"snippet":[103],"(from":[106],"0.15\u20130.68":[107],"0.54\u20130.91)":[109],"major":[111],"including":[115],"w3schools,":[116],"MDN,":[117],"runoob.":[119],"extracted":[121],"is":[123],"integrated":[124],"into":[125],"comprehensive":[127],"graph":[129],"powers":[131],"question-answering":[133],"system,":[134],"achieving":[135],"faithfulness":[136],"scores":[137],"0.93":[139],"answer":[141],"correctness":[142],"0.90.":[144],"These":[145],"results":[146],"demonstrate":[147],"effectiveness":[149],"combining":[151],"statistical":[152],"pattern":[153],"analysis":[154],"LLM-driven":[156],"for":[158],"building":[159],"robust,":[160],"systems.":[164]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-14T00:00:00"}