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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Identification of Title for Natural Languages Using Resource Description Framework and Anaphoric Reference Resolution
verfasst von : Madhuri A. Tayal, Mukesh Raghuwanshi, Latesh Malik
Erschienen in: Intelligent Interactive Technologies and Multimedia
Verlag: Springer Berlin Heidelberg
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In the today’s era of growing information it is very difficult to go through the actual contents of a text-document. Title of a text-document is a collection of meaningful words that signify the content at a glance. This paper presents the method for identifying a title for a text-document using elements of language specific grammar structure i.e. Subject, verb and objects. Ordered this grammar structure is called as RDF (Resource Description Framework). Thismethod firstly, selects certain sentences in the current document. Then it parses them into RDF. Using search engine it retrieves matched documents for the RDF’s. Finally it adopts the title of the best retrieved document as the new title of the current document. This approach works well for any domain related text-documents. The use of Anaphoric reference resolution of discourse processing has further enhanced the result of title identification.