{"id":"https://openalex.org/W4410638116","doi":"https://doi.org/10.1145/3701716.3717820","title":"Open Local Knowledge Graph Construction from Academic Papers Using Generative Large Language Models","display_name":"Open Local Knowledge Graph Construction from Academic Papers Using Generative Large Language Models","publication_year":2025,"publication_date":"2025-05-08","ids":{"openalex":"https://openalex.org/W4410638116","doi":"https://doi.org/10.1145/3701716.3717820"},"language":"en","primary_location":{"id":"doi:10.1145/3701716.3717820","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3701716.3717820","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3701716.3717820","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3701716.3717820","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035432731","display_name":"Haoting Chen","orcid":"https://orcid.org/0000-0001-9351-8690"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Haoting Chen","raw_affiliation_strings":["School of Computing, Australian National University, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing, Australian National University, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062805327","display_name":"Sergio Jos\u00e9 Rodr\u00edguez M\u00e9ndez","orcid":"https://orcid.org/0000-0001-7203-8399"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sergio Jos\u00e9 Rodr\u00edguez M\u00e9ndez","raw_affiliation_strings":["School of Computing, Australian National University, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing, Australian National University, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002321076","display_name":"Pouya Ghiasnezhad Omran","orcid":"https://orcid.org/0000-0002-4473-3877"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Pouya Ghiasnezhad Omran","raw_affiliation_strings":["School of Computing, Australian National University, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing, Australian National University, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I118347636"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035432731"],"corresponding_institution_ids":["https://openalex.org/I118347636"],"apc_list":null,"apc_paid":null,"fwci":2.8414,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.9090819,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2551","last_page":"2559"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9990000128746033,"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":0.9990000128746033,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9944999814033508,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9922999739646912,"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":0.7563245296478271},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.675575852394104},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5013599395751953},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47092145681381226},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41525983810424805},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.40974152088165283},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3372941315174103},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.31186676025390625}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7563245296478271},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.675575852394104},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5013599395751953},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47092145681381226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41525983810424805},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40974152088165283},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3372941315174103},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.31186676025390625}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3701716.3717820","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3701716.3717820","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3701716.3717820","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3701716.3717820","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3701716.3717820","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3701716.3717820","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410638116.pdf","grobid_xml":"https://content.openalex.org/works/W4410638116.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W2935051602","https://openalex.org/W2992252352","https://openalex.org/W3211149253","https://openalex.org/W3214906853","https://openalex.org/W4402352920"],"related_works":["https://openalex.org/W2380075625","https://openalex.org/W4390718435","https://openalex.org/W4390549206","https://openalex.org/W3137171911","https://openalex.org/W4379540039","https://openalex.org/W4237784285","https://openalex.org/W2374712251","https://openalex.org/W4383031710","https://openalex.org/W3211753092","https://openalex.org/W2386000789"],"abstract_inverted_index":{"This":[0],"manuscript":[1],"introduces":[2],"paper2lkg,":[3],"a":[4],"novel":[5],"Local":[6],"Knowledge":[7,22,74],"Graph":[8,23,75],"Construction":[9],"(KGC)":[10],"pipeline":[11,26],"designed":[12],"to":[13,35,52],"transform":[14],"individual":[15,64],"academic":[16,56,71],"papers":[17,65],"into":[18,69],"their":[19],"structured":[20],"local":[21,46,61],"(KG)":[24],"representations.The":[25],"harnesses":[27],"Large":[28],"Language":[29,39],"Models":[30],"(LLMs),":[31],"particularly":[32],"generative":[33],"LLMs,":[34],"automate":[36],"key":[37],"Natural":[38],"Processing":[40],"(NLP)":[41],"tasks":[42],"in":[43],"KGC.The":[44],"constructed":[45],"KGs":[47,72],"can":[48],"potentially":[49],"be":[50],"used":[51],"enrich":[53],"an":[54],"existing":[55],"KG":[57],"that":[58],"lacks":[59],"detailed":[60],"representations":[62],"of":[63],"or":[66],"further":[67],"integrated":[68],"new":[70],"through":[73],"Alignment":[76],"(KGA).":[77]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}