Paper Info
Title
Discovering and analyzing multi-granular web search results
Abstract
In this paper, we propose an approach based on the use of soft aggregation operators and multi-granular graphs for discovering and analyzing the results of Web searches, organized into granules of distinct resolution. This practice enables user-driven explorations of the topics retrieved in a search process on the Internet, being based on the graphical representation of both the information granules, and their discovered relationships. We further present the application of both the soft operators and multi-granular graphs within the meta-search system Matrioshka, and discuss their semantics and usefulness.
Year
DOI
Venue
2011
10.1007/978-3-642-24764-4_20
FQAS
Keywords
Field
DocType
graphical representation,web search,soft operator,meta-search system,search process,distinct resolution,information granule,soft aggregation operator,multi-granular web search result,user-driven exploration,multi-granular graph
Data mining,Graph,World Wide Web,Information retrieval,Computer science,Operator (computer programming),Semantics,The Internet
Conference
Volume
ISSN
Citations 
7022
0302-9743
0
PageRank 
References 
Authors
0.34
13
2
Name
Order
Citations
PageRank
Gloria Bordogna1974103.99
Giuseppe Psaila2722192.45