{"id":"https://openalex.org/W7166593496","doi":"https://doi.org/10.63317/5ndvctbdvkb7","title":"Towards the LinkEn Knowledge Base. A Neuro-Symbolic Approach to Build a Linked Data Hub for English Lemmas with Large Language Models","display_name":"Towards the LinkEn Knowledge Base. A Neuro-Symbolic Approach to Build a Linked Data Hub for English Lemmas with Large Language Models","publication_year":2026,"publication_date":"2026-05-01","ids":{"openalex":"https://openalex.org/W7166593496","doi":"https://doi.org/10.63317/5ndvctbdvkb7"},"language":null,"primary_location":{"id":"doi:10.63317/5ndvctbdvkb7","is_oa":true,"landing_page_url":"https://doi.org/10.63317/5ndvctbdvkb7","pdf_url":"http://www.lrec-conf.org/proceedings/lrec2026/workshops/ldl/pdf/2026.ldl-1.2.pdf","source":null,"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Language Resources and Evaluation Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://www.lrec-conf.org/proceedings/lrec2026/workshops/ldl/pdf/2026.ldl-1.2.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120813883","display_name":"Lorenzo Augello","orcid":null},"institutions":[{"id":"https://openalex.org/I103320735","display_name":"Universit\u00e0 Cattolica del Sacro Cuore","ror":"https://ror.org/03h7r5v07","country_code":"IT","type":"education","lineage":["https://openalex.org/I103320735"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Augello","raw_affiliation_strings":["Universit\u00e0 Cattolica del Sacro Cuore Largo Gemelli 1 , 20123 Milan , Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e0 Cattolica del Sacro Cuore Largo Gemelli 1 , 20123 Milan , Italy","institution_ids":["https://openalex.org/I103320735"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5133868617","display_name":"Marco Passarotti","orcid":null},"institutions":[{"id":"https://openalex.org/I103320735","display_name":"Universit\u00e0 Cattolica del Sacro Cuore","ror":"https://ror.org/03h7r5v07","country_code":"IT","type":"education","lineage":["https://openalex.org/I103320735"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Passarotti","raw_affiliation_strings":["Universit\u00e0 Cattolica del Sacro Cuore Largo Gemelli 1 , 20123 Milan , Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e0 Cattolica del Sacro Cuore Largo Gemelli 1 , 20123 Milan , Italy","institution_ids":["https://openalex.org/I103320735"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I103320735"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.75535966,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"13","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.5458999872207642,"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":0.5458999872207642,"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":0.11869999766349792,"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":0.10010000318288803,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/linked-data","display_name":"Linked data","score":0.7457000017166138},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.6899999976158142},{"id":"https://openalex.org/keywords/interoperability","display_name":"Interoperability","score":0.6758000254631042},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.6366999745368958},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.4325000047683716},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4271000027656555},{"id":"https://openalex.org/keywords/lemma","display_name":"Lemma (botany)","score":0.4092000126838684},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.40389999747276306},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.3765000104904175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7944999933242798},{"id":"https://openalex.org/C69075417","wikidata":"https://www.wikidata.org/wiki/Q515701","display_name":"Linked data","level":3,"score":0.7457000017166138},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.6899999976158142},{"id":"https://openalex.org/C20136886","wikidata":"https://www.wikidata.org/wiki/Q749647","display_name":"Interoperability","level":2,"score":0.6758000254631042},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.6366999745368958},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4496000111103058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43970000743865967},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.4325000047683716},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4271000027656555},{"id":"https://openalex.org/C2777759810","wikidata":"https://www.wikidata.org/wiki/Q149316","display_name":"Lemma (botany)","level":3,"score":0.4092000126838684},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.40389999747276306},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.3765000104904175},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.37450000643730164},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.35760000348091125},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3517000079154968},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.34209999442100525},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.3393999934196472},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3379000127315521},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.33090001344680786},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.3154999911785126},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.30149999260902405},{"id":"https://openalex.org/C179603123","wikidata":"https://www.wikidata.org/wiki/Q1941921","display_name":"Modeling language","level":3,"score":0.2906999886035919},{"id":"https://openalex.org/C84685590","wikidata":"https://www.wikidata.org/wiki/Q1540472","display_name":"Knowledge engineering","level":2,"score":0.28529998660087585},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.27649998664855957},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.27469998598098755},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.25699999928474426},{"id":"https://openalex.org/C29804473","wikidata":"https://www.wikidata.org/wiki/Q2025711","display_name":"Open Knowledge Base Connectivity","level":4,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.63317/5ndvctbdvkb7","is_oa":true,"landing_page_url":"https://doi.org/10.63317/5ndvctbdvkb7","pdf_url":"http://www.lrec-conf.org/proceedings/lrec2026/workshops/ldl/pdf/2026.ldl-1.2.pdf","source":null,"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Language Resources and Evaluation Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.63317/5ndvctbdvkb7","is_oa":true,"landing_page_url":"https://doi.org/10.63317/5ndvctbdvkb7","pdf_url":"http://www.lrec-conf.org/proceedings/lrec2026/workshops/ldl/pdf/2026.ldl-1.2.pdf","source":null,"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Language Resources and Evaluation Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5727015137672424}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166593496.pdf","grobid_xml":"https://content.openalex.org/works/W7166593496.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1,144],"presents":[2],"the":[3,34,56,63,90,107,135,139,158],"first":[4,136],"core":[5],"component":[6],"of":[7,12,36,109,130,161],"LinkEn,":[8],"a":[9,28,37,97,147],"knowledge":[10,71,83,165],"base":[11],"interoperable":[13],"language":[14,104],"resources":[15],"for":[16,60,151,157],"English":[17,152],"adhering":[18],"to":[19,41],"Linked":[20,162],"Open":[21],"Data":[22,163],"principles.With":[23],"this":[24,143],"initial":[25],"step":[26],"towards":[27,138],"broader":[29],"infrastructure,":[30],"we":[31],"focus":[32],"on":[33,81],"development":[35],"lemma-centered":[38],"hub":[39],"designed":[40],"enable":[42],"interoperability":[43],"between":[44],"distributed":[45],"lexical":[46,132],"resources,":[47],"corpora,":[48],"and":[49,62,73,86,123,153],"linguistic":[50],"annotations.The":[51],"modeling":[52],"is":[53],"inspired":[54],"by":[55],"LiLa":[57],"Knowledge":[58,141],"Base":[59],"Latin":[61],"OntoLex-Lemon":[64],"model,":[65],"ensuring":[66],"compatibility":[67],"with":[68,120],"existing":[69],"lemma-centric":[70],"graphs":[72],"enabling":[74,125],"future":[75],"cross-linguistic":[76],"interoperability.Rather":[77],"than":[78],"relying":[79],"solely":[80],"manual":[82],"graph":[84],"construction":[85,129],"significant":[87],"human":[88],"effort,":[89],"lemma":[91,149],"bank":[92,150],"has":[93],"been":[94],"developed":[95],"through":[96],"hybrid":[98],"neuro-symbolic":[99],"pipeline":[100],"that":[101],"integrates":[102],"large":[103],"models":[105],"into":[106],"generation":[108,119],"RDF":[110],"data":[111],"under":[112],"explicit":[113],"ontological":[114],"constraints.This":[115],"approach":[116],"combines":[117],"automated":[118],"ontology-driven":[121],"supervision":[122],"evaluation,":[124],"scalable":[126],"yet":[127],"controlled":[128],"structured":[131],"knowledge.By":[133],"presenting":[134],"steps":[137],"LinkEn":[140],"Base,":[142],"contributes":[145],"both":[146],"new":[148],"an":[154],"experimental":[155],"methodology":[156],"semi-automatic":[159],"creation":[160],"based":[164],"graphs.":[166]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2026-06-30T00:00:00"}
