{"id":"https://openalex.org/W4415974492","doi":"https://doi.org/10.1016/j.procs.2025.09.241","title":"CoA-Text2OWL: Enhancing Ontology Learning with Chain-of-Agents Framework","display_name":"CoA-Text2OWL: Enhancing Ontology Learning with Chain-of-Agents Framework","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415974492","doi":"https://doi.org/10.1016/j.procs.2025.09.241"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2025.09.241","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.09.241","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.procs.2025.09.241","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024026442","display_name":"Hussam Ghanem","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210124615","display_name":"Laboratoire Interdisciplinaire Carnot de Bourgogne","ror":"https://ror.org/02b6c1039","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I37553959","https://openalex.org/I4210124615","https://openalex.org/I4405253280"]},{"id":"https://openalex.org/I4405253280","display_name":"Universit\u00e9 Bourgogne Europe","ror":"https://ror.org/00g700j37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4405253280"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Hussam Ghanem","raw_affiliation_strings":["Universit\u00e9 Bourgogne Europe, CNRS, Laboratoire Interdisciplinaire Carnot de Bourgogne ICB UMR 6303, 21000 Dijon, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Bourgogne Europe, CNRS, Laboratoire Interdisciplinaire Carnot de Bourgogne ICB UMR 6303, 21000 Dijon, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210124615","https://openalex.org/I4405253280"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Samir Jabbar","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210124615","display_name":"Laboratoire Interdisciplinaire Carnot de Bourgogne","ror":"https://ror.org/02b6c1039","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I37553959","https://openalex.org/I4210124615","https://openalex.org/I4405253280"]},{"id":"https://openalex.org/I4405253280","display_name":"Universit\u00e9 Bourgogne Europe","ror":"https://ror.org/00g700j37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4405253280"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Samir Jabbar","raw_affiliation_strings":["Universit\u00e9 Bourgogne Europe, CNRS, Laboratoire Interdisciplinaire Carnot de Bourgogne ICB UMR 6303, 21000 Dijon, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Bourgogne Europe, CNRS, Laboratoire Interdisciplinaire Carnot de Bourgogne ICB UMR 6303, 21000 Dijon, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210124615","https://openalex.org/I4405253280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031830209","display_name":"Christophe Cruz","orcid":"https://orcid.org/0000-0002-5611-9479"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210124615","display_name":"Laboratoire Interdisciplinaire Carnot de Bourgogne","ror":"https://ror.org/02b6c1039","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I37553959","https://openalex.org/I4210124615","https://openalex.org/I4405253280"]},{"id":"https://openalex.org/I4405253280","display_name":"Universit\u00e9 Bourgogne Europe","ror":"https://ror.org/00g700j37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4405253280"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christophe Cruz","raw_affiliation_strings":["Universit\u00e9 Bourgogne Europe, CNRS, Laboratoire Interdisciplinaire Carnot de Bourgogne ICB UMR 6303, 21000 Dijon, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Bourgogne Europe, CNRS, Laboratoire Interdisciplinaire Carnot de Bourgogne ICB UMR 6303, 21000 Dijon, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210124615","https://openalex.org/I4405253280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024026442"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210124615","https://openalex.org/I4405253280"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16835832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"270","issue":null,"first_page":"1205","last_page":"1214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.227400004863739,"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":0.227400004863739,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.0771000012755394,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.06340000033378601,"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/ontology","display_name":"Ontology","score":0.8251000046730042},{"id":"https://openalex.org/keywords/ontology-learning","display_name":"Ontology learning","score":0.7254999876022339},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5746999979019165},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5712000131607056},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5346999764442444},{"id":"https://openalex.org/keywords/ontology-based-data-integration","display_name":"Ontology-based data integration","score":0.5085999965667725},{"id":"https://openalex.org/keywords/process-ontology","display_name":"Process ontology","score":0.4634000062942505},{"id":"https://openalex.org/keywords/upper-ontology","display_name":"Upper ontology","score":0.41850000619888306},{"id":"https://openalex.org/keywords/ontology-alignment","display_name":"Ontology alignment","score":0.4099999964237213}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9203000068664551},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.8251000046730042},{"id":"https://openalex.org/C2777002027","wikidata":"https://www.wikidata.org/wiki/Q3620938","display_name":"Ontology learning","level":5,"score":0.7254999876022339},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5746999979019165},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5712000131607056},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5346999764442444},{"id":"https://openalex.org/C22550185","wikidata":"https://www.wikidata.org/wiki/Q7095047","display_name":"Ontology-based data integration","level":3,"score":0.5085999965667725},{"id":"https://openalex.org/C137003198","wikidata":"https://www.wikidata.org/wiki/Q7247296","display_name":"Process ontology","level":3,"score":0.4634000062942505},{"id":"https://openalex.org/C78726541","wikidata":"https://www.wikidata.org/wiki/Q3882785","display_name":"Upper ontology","level":3,"score":0.41850000619888306},{"id":"https://openalex.org/C98893333","wikidata":"https://www.wikidata.org/wiki/Q4339878","display_name":"Ontology alignment","level":4,"score":0.4099999964237213},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3594000041484833},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.35510000586509705},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3497999906539917},{"id":"https://openalex.org/C50382505","wikidata":"https://www.wikidata.org/wiki/Q2553356","display_name":"OWL-S","level":4,"score":0.33559998869895935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3310000002384186},{"id":"https://openalex.org/C2779542340","wikidata":"https://www.wikidata.org/wiki/Q1062461","display_name":"Learning object","level":2,"score":0.3287000060081482},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.31839999556541443},{"id":"https://openalex.org/C50971890","wikidata":"https://www.wikidata.org/wiki/Q7635093","display_name":"Suggested Upper Merged Ontology","level":4,"score":0.31360000371932983},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.30169999599456787},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.29649999737739563},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2924000024795532},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C115408247","wikidata":"https://www.wikidata.org/wiki/Q3882789","display_name":"Ontology Inference Layer","level":5,"score":0.28700000047683716},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C101230327","wikidata":"https://www.wikidata.org/wiki/Q826165","display_name":"Web Ontology Language","level":3,"score":0.2791000008583069},{"id":"https://openalex.org/C2778820784","wikidata":"https://www.wikidata.org/wiki/Q1027508","display_name":"Ontology engineering","level":4,"score":0.2533000111579895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.procs.2025.09.241","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.09.241","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2025.09.241","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.09.241","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1120399110","display_name":null,"funder_award_id":"ANR-21-CE23-0034","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G8948417459","display_name":null,"funder_award_id":"ANR-24-LCV1-0008","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2101105183","https://openalex.org/W2970854433","https://openalex.org/W4389493310","https://openalex.org/W4403071417","https://openalex.org/W4405040123"],"related_works":[],"abstract_inverted_index":{"Ontology":[0],"learning":[1,103],"from":[2,128],"unstructured":[3],"text":[4],"remains":[5],"a":[6,20,30,50,57,64,72],"complex":[7],"challenge,":[8],"particularly":[9],"for":[10,101,112],"large":[11],"and":[12,83,104,116,156],"intricate":[13],"textual":[14],"sources.":[15],"This":[16,145],"paper":[17],"introduces":[18],"CoA-Text2OWL,":[19],"multi-agent":[21,99,154],"framework":[22],"that":[23],"leverages":[24],"Large":[25],"Language":[26],"Models":[27],"(LLMs)":[28],"within":[29],"Chain-of-Agents":[31],"to":[32,125,133,148],"improve":[33],"ontology":[34,84,102],"generation.":[35],"Unlike":[36],"traditional":[37],"single-LLM":[38],"approaches,":[39],"CoA-Text2OWL":[40,121],"distributes":[41],"the":[42,53,96,149],"task":[43],"across":[44],"multiple":[45],"worker":[46],"agents,":[47],"each":[48],"processing":[49],"chunk":[51],"of":[52,98,152],"input":[54],"text,":[55],"while":[56],"manager":[58],"agent":[59,110],"synthesizes":[60],"their":[61,157],"outputs":[62],"into":[63],"coherent":[65],"ontology.":[66],"We":[67,118],"evaluate":[68],"our":[69],"approach":[70],"against":[71],"baseline":[73],"single-LLM-based":[74],"Text2OWL":[75],"method,":[76],"demonstrating":[77],"improvements":[78],"in":[79,89,136,159],"object":[80],"property":[81],"extraction":[82],"completeness.":[85],"However,":[86],"challenges":[87],"remain":[88],"preserving":[90],"hierarchical":[91],"structures.":[92],"Our":[93],"results":[94],"highlight":[95],"potential":[97],"AI":[100],"suggest":[105],"future":[106],"enhancements,":[107],"including":[108],"specialized":[109],"roles":[111],"term":[113],"extraction,":[114],"classification,":[115],"validation.":[117],"further":[119],"validate":[120],"by":[122],"applying":[123],"it":[124],"construct":[126],"ontologies":[127],"real-world":[129],"TRACES":[130],"data":[131],"related":[132],"urban":[134],"systems":[135,155],"Geneva,":[137],"achieving":[138],"strong":[139],"semantic":[140],"alignment":[141],"with":[142],"source":[143],"documents.":[144],"research":[146],"contributes":[147],"evolving":[150],"field":[151],"LLM-powered":[153],"application":[158],"knowledge":[160],"representation.":[161]},"counts_by_year":[],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-11-06T00:00:00"}