In-Page Semantic Ranking of Snippets for WebPages

Leena Giri, G and Praveen Gowda, IV and Manjula, SH and Venugopal, KR and Patnaik, LM (2016) In-Page Semantic Ranking of Snippets for WebPages. In: 6th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2015, 31 October 2015, Trivandrum, pp. 109-120.

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Abstract

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:	Conference Paper
Publication:	Computation and Communication Technologies
Publisher:	De Gruyter
Additional Information:	The copyright for this article belongs to Walter de Gruyter GmbH
Keywords:	Ranking; Semantic HTML tags; Snippets
Department/Centre:	Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Date Deposited:	01 Feb 2023 05:59
Last Modified:	01 Feb 2023 05:59
URI:	https://eprints.iisc.ac.in/id/eprint/79653

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