Digital Library

cab1

 
Title:      MASHING UP SEARCH RESULTS USING ENTITY IDENTIFICATION, CONSOLIDATION, AND BUZZSCORE
Author(s):      Jérémie Bordier , Gregory Grefenstette
ISBN:      978-972-8924-93-5
Editors:      Pedro Isaías, Bebo White and Miguel Baptista Nunes
Year:      2009
Edition:      2
Keywords:      Mashup, buzz, search engine, entity extraction, web, web search
Type:      Short Paper
First Page:      195
Last Page:      199
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      Classic search engines accept a user query and return a list of ranked results. Two independent phenomena may soon make this response seem archaic. First, users are now used to seeing all their information always present, in different configurations maybe, but present, accessible. Second is the increasing sophistication of semantic extraction tools. These two tendencies find their expression in richer and richer mash-ups of information. In this paper, we present our current implementation of mashing up web intelligence in a consolidated interface rather than as classic flat lists.
   

Social Media Links

Search

Login