Characterization of NON-ISA factual sentences in english

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dc.accession.numberT00442
dc.classification.ddc006.35 KAN
dc.contributor.advisorDasgupta, Sourish
dc.contributor.authorKansagara, Vishal J.
dc.date.accessioned2017-06-10T14:41:26Z
dc.date.accessioned2025-06-28T10:21:39Z
dc.date.available2017-06-10T14:41:26Z
dc.date.issued2014
dc.degreeM. Tech
dc.description.abstractAvailability to reason for extraction of knowledge has made Ontology Learning subject of intensive study for past couple of years. With the scaling of the domain, time taken to manually conceptualize the domain knowledge increases, making a way for automatic learning tools. Thesis approach is to characterize Natural Language text documents, by taking sentences one by one from documents and giving subject, object, relation between them, subject modifier and object modifier(for particular sentence), which helps to convert Natural Language text document into semantically equivalent DL(Description Logic) expression. This DL expression is used to generate Ontology automatically.
dc.identifier.citationKansagara, Vishal J. (2014). Characterization of NON-ISA factual sentences in english. Dhirubhai Ambani Institute of Information and Communication Technology, vii, 36 p. (Acc.No: T00442)
dc.identifier.urihttp://ir.daiict.ac.in/handle/123456789/479
dc.publisherDhirubhai Ambani Institute of Information and Communication Technology
dc.student.id201211006
dc.subjectNatural Language Processing
dc.subjectIntelligent Text
dc.subjectOntology Learning
dc.titleCharacterization of NON-ISA factual sentences in english
dc.typeDissertation

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