In-Page Semantic Ranking of Snippets for WebPages

Leena Giri, G. and Praveen Gowda, I.V. and Manjula, S.H. and Venugopal, K.R. and Patnaik, L.M. (2016) In-Page Semantic Ranking of Snippets for WebPages. In: Computation and Communication Technologies. De Gruyter, pp. 109-120.

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Snippets are textual information present on web pages and are the basic foundation for the index building process of most search engines. Previous works in webpage ranking use techniques for ranking webpages while considering snippets to be plain text, without exploiting the rich semantic information available from the HTML content. An HTML document not only contains snippets, but also describes semantics of that snippet and the structure of the entire document. In this paper we propose a snippet ranking algorithm which uses semantic HTML tags, that embeds the snippet, and the underlying structure of the webpage for assigning ranks. This allows a more precise ranking compared to considering snippets as plain text.

Item Type: Book Section
Uncontrolled Keywords: Semantic HTML tags, snippets, ranking
Subjects: Faculty of Engineering > Computer Science & Information Science Engineering
Divisions: University Visvesvarayya College of Engineering > Department of Computer Science and Information Science Engineering
Depositing User: Ms. Shwetha A C
Date Deposited: 12 Oct 2021 11:02
Last Modified: 12 Oct 2021 11:02

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