Title
RAST: A Related Abstract Search Tool
Abstract
With the increasing amount of information available in recent years, searching for the desired content is becoming a challenging task. In this work, a tool for searching abstracts submitted to scientific conferences is introduced. It not only search abstracts by the given keyword(s), but also displays abstracts related to a single or multiple selection. It also displays information on the similarity between all abstracts on a list, providing users with more information to take into account to support finding relevant abstracts. It also suggests possible keywords to help refine their search, and an interface for storing and sorting selected abstracts for future review and/or printing.
Year
DOI
Venue
2009
10.1007/978-3-642-10684-2_21
ICONIP
Keywords
Field
DocType
challenging task,relevant abstract,multiple selection,increasing amount,future review,recent year,related abstract search tool,scientific conference,possible keyword,bipartite graph
Neuroinformatics,Dimensionality reduction,Information retrieval,Knowledge visualization,Computer science,Bipartite graph,Sorting,Artificial intelligence,Machine learning
Conference
Volume
ISSN
Citations 
5864
0302-9743
0
PageRank 
References 
Authors
0.34
7
4
Name
Order
Citations
PageRank
Shiro Usui1775198.35
Nilton Liuji Kamiji252.07
Tatsuki Taniguchi3132.29
Naonori Ueda41902214.32