Theses and Dissertations

Permanent URI for this collectionhttp://ir.daiict.ac.in/handle/123456789/1

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2013 - 20142

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Subject: search.filters.subject.Ontology Learning

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    Characterization of NON-ISA factual sentences in english
    (Dhirubhai Ambani Institute of Information and Communication Technology, 2014) Kansagara, Vishal J.; Dasgupta, Sourish
    Availability 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.
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    ItemOpen Access
    NL2DL: a platform for formal ontology learning and evaluation.
    (Dhirubhai Ambani Institute of Information and Communication Technology, 2013) Padia, Ankur; Dasgupta, Sourish
    Availability to reason for extraction of knowledge makes 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 the problem of automatically converting Natural Language text documents to its corresponding Description Logic expression, linguistically and its evaluation technique. Text documents of WCL Data set are used to build/learn ontology.