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Please use this identifier to cite or link to this item: http://hdl.handle.net/10016/14844

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Title: Search in the eye of the beholder: using the personal social dataset and ontology-guided input to improve web search efficiency
Author(s): Gómez-Berbís, Juan Miguel
Colomo-Palacios, Ricardo
Alor-Hernández, Giner
Posada-Gómez, Rubén
García-Crespo, Ángel
Publisher: IEEE
Issued date: Oct-2007
Citation: Virgilio Almeida et al. (eds.), 2007 Latin American Web Conference (LA-WEB 2007), Santiago (Chile), 31 October-2 November 2007 (pp. 50-56). Proceedings. Los Alamitos: IEEE Computer Society, 2007
URI: http://hdl.handle.net/10016/14844
ISBN: 978-0-7695-3008-6
0-7695-3008-7
DOI: 10.1109/LA-Web.2007.22
Description: Proceedings of: Latin American Web Conference 2007 (LA-WEB 2007), 31 October-2 November 2007, Santiago (Chile)
Abstract: Among the challenges of searching the vast information source the Web has become, improving Web search efficiency by different strategies using semantics and the user generated data from Web 2.0 applications remains a promising and interesting approach. In this paper, we present the Personal Social Dataset and Ontology-guided Input strategies and couple them together, providing a proof of concept implementation.
Publisher version: http://dx.doi.org/10.1109/LA-Web.2007.22
Keywords: Blogs
Ontologies
Search engines
Web 2.0
Rights: © IEEE
Appears in Collections:DI - SOFTLAB - Comunicaciones en Congresos y otros eventos

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