Subject: https://w3id.org/scholarlydata/inproceedings/eswc-2024-llm4ke-268Property: http://www.w3.org/1999/02/22-rdf-syntax-ns#typehttp://purl.org/spar/fabio/ProceedingsPaperhttp://www.w3.org/2002/07/owl#Thinghttps://w3id.org/scholarlydata/ontology/conference-ontology.owl#InProceedingshttp://www.ontologydesignpatterns.org/ont/dul/DUL.owl#SocialObjecthttp://www.w3.org/2000/01/rdf-schema#Resourcehttp://www.ontologydesignpatterns.org/ont/dul/DUL.owl#InformationObjecthttp://www.ontologydesignpatterns.org/ont/dul/DUL.owl#ObjectProperty: http://www.w3.org/2000/01/rdf-schema#labelCan LLMs Generate Competency Questions?Property: http://swrc.ontoware.org/ontology#abstractLarge Language Models have shown high performances in a large number of tasks, being recently applied also to Knowledge Graphs and data representation. An important step for data modeling consists in the definition of a set of competency questions, which are often used as a guide for the development of an ontology and as an evaluation benchmark. This study would like to investigate the suitability of LLMs for the automatic generation of competency questions knowing the developed ontology. Different models are compared in different settings in order to give a comprehensive overview of the state-of-art.Property: http://purl.org/dc/elements/1.1/creatorhttps://w3id.org/scholarlydata/person/raphael-troncyhttps://w3id.org/scholarlydata/person/lionel-tailhardathttps://w3id.org/scholarlydata/person/youssra-rebboudhttps://w3id.org/scholarlydata/person/pasquale-lisenaProperty: http://purl.org/dc/elements/1.1/subjectKnowledge GraphsData ModelingLLMsOntologyProperty: http://purl.org/dc/elements/1.1/titleCan LLMs Generate Competency Questions?Property: http://purl.org/ontology/bibo/authorListhttps://w3id.org/scholarlydata/authorlist/eswc-2024-llm4ke-268Property: http://xmlns.com/foaf/0.1/makerhttps://w3id.org/scholarlydata/person/youssra-rebboudhttps://w3id.org/scholarlydata/person/raphael-troncyhttps://w3id.org/scholarlydata/person/lionel-tailhardathttps://w3id.org/scholarlydata/person/pasquale-lisenaProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#abstractLarge Language Models have shown high performances in a large number of tasks, being recently applied also to Knowledge Graphs and data representation. An important step for data modeling consists in the definition of a set of competency questions, which are often used as a guide for the development of an ontology and as an evaluation benchmark. This study would like to investigate the suitability of LLMs for the automatic generation of competency questions knowing the developed ontology. Different models are compared in different settings in order to give a comprehensive overview of the state-of-art.Property: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#hasAuthorListhttps://w3id.org/scholarlydata/authorlist/eswc-2024-llm4ke-268Property: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#isPartOfhttps://w3id.org/scholarlydata/conference/eswc/2024/proceedingsProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#keywordData ModelingKnowledge GraphsLLMsOntologyProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#titleCan LLMs Generate Competency Questions?

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Subject: https://w3id.org/scholarlydata/person/lionel-tailhardatProperty: http://xmlns.com/foaf/0.1/madehttps://w3id.org/scholarlydata/inproceedings/eswc-2024-llm4ke-268

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