Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/1959
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dc.contributor.authorChawla, Jessica Kaur-
dc.contributor.authorMutharaju, Raghava (Advisor)-
dc.date.accessioned2026-04-23T08:23:06Z-
dc.date.available2026-04-23T08:23:06Z-
dc.date.issued2024-11-27-
dc.identifier.urihttp://repository.iiitd.edu.in/xmlui/handle/123456789/1959-
dc.description.abstractThe project builds upon existing research that has investigated the reasoning capabilities of PLMs, primarily using RDFS rules. I aim to extend this work by incorporating the more expressive EL++ formalism, which potentially allows for more complex reasoning tasks. EL++ is chosen because it offers a balance between expressiveness and computational tractability. EL++ allows for the representation of complex relationships while ensuring that reasoning tasks can be performed effectively.en_US
dc.language.isoen_USen_US
dc.publisherIIIT-Delhien_US
dc.subjectOntologyen_US
dc.subjectEL++en_US
dc.subjectLLMsen_US
dc.subjectOWLen_US
dc.subjectReasoningen_US
dc.titleOntology reasoning in EL++en_US
dc.typeOtheren_US
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