{"id":"https://openalex.org/W7138890704","doi":"https://doi.org/10.48786/edbt.2026.59","title":"SchemaTune: A Hybrid Framework Combining Transformer Fine-Tuning and Large Language Models for Schema Matching","display_name":"SchemaTune: A Hybrid Framework Combining Transformer Fine-Tuning and Large Language Models for Schema Matching","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7138890704","doi":"https://doi.org/10.48786/edbt.2026.59"},"language":"en","primary_location":{"id":"doi:10.48786/edbt.2026.59","is_oa":true,"landing_page_url":"https://doi.org/10.48786/edbt.2026.59","pdf_url":null,"source":{"id":"https://openalex.org/S7407052771","display_name":"OpenProceedings","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48786/edbt.2026.59","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059268254","display_name":"Sayandeep Mitra","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mitra, Sayandeep","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129869123","display_name":"Manasi Patwardhan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Patwardhan, Manasi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5070845505","display_name":"Raveendra Kumar Medicherla","orcid":"https://orcid.org/0000-0002-9162-4825"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Medicherla, Raveendra Kumar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5174000263214111},{"id":"https://openalex.org/keywords/schema-matching","display_name":"Schema matching","score":0.39239999651908875},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.3709999918937683},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.3393000066280365},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.3070000112056732},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.3057999908924103}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6949999928474426},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5174000263214111},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4465999901294708},{"id":"https://openalex.org/C2777327318","wikidata":"https://www.wikidata.org/wiki/Q1408390","display_name":"Schema matching","level":3,"score":0.39239999651908875},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3788999915122986},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.3709999918937683},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3393000066280365},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30869999527931213},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3070000112056732},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.3057999908924103},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C179603123","wikidata":"https://www.wikidata.org/wiki/Q1941921","display_name":"Modeling language","level":3,"score":0.27090001106262207},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2538999915122986},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48786/edbt.2026.59","is_oa":true,"landing_page_url":"https://doi.org/10.48786/edbt.2026.59","pdf_url":null,"source":{"id":"https://openalex.org/S7407052771","display_name":"OpenProceedings","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.48786/edbt.2026.59","is_oa":true,"landing_page_url":"https://doi.org/10.48786/edbt.2026.59","pdf_url":null,"source":{"id":"https://openalex.org/S7407052771","display_name":"OpenProceedings","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-20T00:00:00"}