{"id":"https://openalex.org/W7140100447","doi":"https://doi.org/10.18653/v1/2026.eacl-srw.46","title":"Thesis Proposal: A Multi-Agent System for Ontology-Based Perspective-Aware Knowledge Extraction","display_name":"Thesis Proposal: A Multi-Agent System for Ontology-Based Perspective-Aware Knowledge Extraction","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7140100447","doi":"https://doi.org/10.18653/v1/2026.eacl-srw.46"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2026.eacl-srw.46","doi":"https://doi.org/10.18653/v1/2026.eacl-srw.46","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-srw.46","pdf_url":"https://aclanthology.org/2026.eacl-srw.46.pdf","source":{"id":"https://openalex.org/S4306418011","display_name":"Conference of the European Chapter of the Association for Computational Linguistics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 4: Student Research Workshop)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://aclanthology.org/2026.eacl-srw.46.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111253983","display_name":"Luiz do Valle Miranda","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luiz Do Valle Miranda","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5023890658","display_name":"Grzegorz Jacek Nalepa","orcid":"https://orcid.org/0000-0002-8182-4225","observed_orcids":["https://orcid.org/0000-0002-8182-4225","https://orcid.org/0009-0008-0521-3175"]},"institutions":[{"id":"https://openalex.org/I126596746","display_name":"Jagiellonian University","ror":"https://ror.org/03bqmcz70","country_code":"PL","type":"education","lineage":["https://openalex.org/I126596746"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Grzegorz J. Nalepa","raw_affiliation_strings":["Department of Human-Centered AI Institute of Applied Computer Science Jagiellonian University Krak\u00f3w , Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Human-Centered AI Institute of Applied Computer Science Jagiellonian University Krak\u00f3w , Poland","institution_ids":["https://openalex.org/I126596746"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14742966,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"604","last_page":"611"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9218999743461609,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9218999743461609,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.03269999846816063,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.015200000256299973,"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/multi-agent-systems","display_name":"multi-agent systems","score":0.8080000281333923},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.8040000200271606},{"id":"https://openalex.org/keywords/knowledge-graphs","display_name":"knowledge graphs","score":0.9610000252723694},{"id":"https://openalex.org/keywords/ontology-design-patterns","display_name":"ontology design patterns","score":0.7870000004768372},{"id":"https://openalex.org/keywords/semantic-diversity","display_name":"semantic diversity","score":0.7250000238418579},{"id":"https://openalex.org/keywords/representation-bias","display_name":"representation bias","score":0.7710000276565552},{"id":"https://openalex.org/keywords/medical-knowledge-graph","display_name":"medical knowledge graph","score":0.6439999938011169}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5842999815940857},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4462999999523163},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.32429999113082886},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3003999888896942},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.25290000438690186},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.24779999256134033},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.24729999899864197}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/2026.eacl-srw.46","doi":"https://doi.org/10.18653/v1/2026.eacl-srw.46","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-srw.46","pdf_url":"https://aclanthology.org/2026.eacl-srw.46.pdf","source":{"id":"https://openalex.org/S4306418011","display_name":"Conference of the European Chapter of the Association for Computational Linguistics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 4: Student Research Workshop)","raw_type":"proceedings-article"},{"id":"pmh:oai:ruj.uj.edu.pl:item/573172","doi":null,"is_oa":true,"landing_page_url":"https://ruj.uj.edu.pl/handle/item/573172","pdf_url":"http://ruj.uj.edu.pl/bitstreams/f15d4705-566e-410d-a4de-9c4fac90c9a8/download","source":{"id":"https://openalex.org/S4306400316","display_name":"Homo Politicus (Academy of Humanities and Economics in Lodz)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"publikacja pokonferencyjna"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.eacl-srw.46","doi":"https://doi.org/10.18653/v1/2026.eacl-srw.46","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-srw.46","pdf_url":"https://aclanthology.org/2026.eacl-srw.46.pdf","source":{"id":"https://openalex.org/S4306418011","display_name":"Conference of the European Chapter of the Association for Computational Linguistics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 4: Student Research Workshop)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7140100447.pdf","grobid_xml":"https://content.openalex.org/works/W7140100447.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4415974492","https://openalex.org/W7083435628","https://openalex.org/W7212141382","https://openalex.org/W7209486672","https://openalex.org/W7115072579","https://openalex.org/W7048331648","https://openalex.org/W7164926391","https://openalex.org/W7125816407","https://openalex.org/W7160956257","https://openalex.org/W7127541901"],"abstract_inverted_index":{"This":[0],"thesis":[1],"investigates":[2],"how":[3,56,67],"polyvocal":[4,59,120],"ontologies":[5],"and":[6,43,80,83,131],"Large":[7],"Language":[8],"Model":[9],"(LLM)":[10],"based":[11],"Multi-Agent":[12],"Systems":[13],"(MAS)":[14],"can":[15],"operationalize":[16],"perspective-aware":[17,109],"knowledge":[18],"extraction,":[19],"preserving":[20],"conflicting":[21],"stakeholder":[22],"interpretations":[23],"as":[24,111],"epistemically":[25],"separable,":[26],"queryable":[27],"Knowledge":[28],"Graphs":[29],"(KGs).Current":[30],"AI":[31],"systems":[32],"consolidate":[33],"multiple":[34],"perspectives":[35],"into":[36],"singular,":[37],"decontextualized":[38],"schemas,":[39],"introducing":[40],"representational":[41],"bias":[42],"information":[44],"loss.We":[45],"propose":[46],"a":[47,112],"systematic":[48],"framework":[49,127],"addressing":[50],"three":[51],"interconnected":[52],"research":[53],"questions:":[54],"(1)":[55],"to":[57,68,104,115],"generate":[58],"ontology":[60,121],"design":[61],"patterns":[62],"for":[63],"high-stakes":[64],"domains;":[65],"(2)":[66],"architect":[69],"LLM-based":[70],"MAS":[71,125],"that":[72],"extract":[73],"perspectiveconditioned":[74],"facts":[75],"while":[76],"maintaining":[77],"schema":[78],"coherence":[79],"provenance":[81],"traceability;":[82],"(3)":[84],"whether":[85],"such":[86],"extractions":[87],"achieve":[88],"semantic":[89],"diversity":[90],"without":[91],"sacrificing":[92],"KG":[93],"integrity.Evaluation":[94],"is":[95],"proposed":[96],"on":[97],"medical":[98],"datasets,":[99],"conducted":[100],"with":[101,128],"domain":[102],"experts,":[103],"demonstrate":[105],"the":[106],"feasibility":[107],"of":[108],"extraction":[110,126],"principled":[113],"alternative":[114],"consensus-oriented":[116],"KGs.Expected":[117],"contributions":[118],"include":[119],"patterns,":[122],"an":[123],"ontology-orchestrated":[124],"auditable":[129],"provenance,":[130],"empirical":[132],"validation.":[133]},"counts_by_year":[],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2026-03-24T00:00:00"}
