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dc.contributor.author Chawla, Jessica Kaur
dc.contributor.author Mutharaju, Raghava (Advisor)
dc.date.accessioned 2026-04-23T08:23:06Z
dc.date.available 2026-04-23T08:23:06Z
dc.date.issued 2024-11-27
dc.identifier.uri http://repository.iiitd.edu.in/xmlui/handle/123456789/1959
dc.description.abstract The 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.iso en_US en_US
dc.publisher IIIT-Delhi en_US
dc.subject Ontology en_US
dc.subject EL++ en_US
dc.subject LLMs en_US
dc.subject OWL en_US
dc.subject Reasoning en_US
dc.title Ontology reasoning in EL++ en_US
dc.type Other en_US


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