Wei W, Barnaghi P, Bargiela A "Rational Research model for ranking semantic entities" Information Sciences 181(13):2823-2840 Special Issue July 1, 2011

Eugene Garfield garfield at CODEX.CIS.UPENN.EDU
Mon Aug 22 18:39:30 EDT 2011


E-mail Address: wang.wei at nottingham.edu.my  

TITLE : Rational Research model for ranking semantic entities  

Author(s): Wei, W (Wei, Wang)1; Barnaghi, P (Barnaghi, Payam)2; Bargiela, A 
(Bargiela, Andrzej)1  

Source: INFORMATION SCIENCES  Volume: 181   Issue: 13   Special Issue: 
SI   Pages: 2823-2840   DOI: 10.1016/j.ins.2011.02.028   Published: JUL 1 
2011  

Times Cited: 0 (from Web of Science)  

Cited References: 37 [ view related records ]     Citation Map     
 
Abstract: Ranking plays important role in contemporary information search and 
retrieval systems. Among existing ranking algorithms, link analysis based 
algorithms have been proved to be effective for ranking documents retrieved 
from large-scale text repositories such as the current Web. Recent 
developments in semantic Web raise considerable interest in designing new 
ranking paradigms for various semantic search applications. While ranking 
methods in this context exist, they have not gained much popularity. in this 
article we introduce the idea of the "Rational Research" model which reflects 
search behaviour of a "rational" researcher in a scientific research 
environment, and propose the RareRank algorithm for ranking entities in 
semantic search systems, in particular, we focus on elaborating the rationale 
and implementation of the algorithm. Experiments are performed using the 
RareRank algorithm and the results are evaluated by domain experts using 
popular ranking performance measures. A comparison study with existing link-
based ranking algorithms reveals the benefits of the proposed method. (C) 
2011 Elsevier Inc. All rights reserved.  

Document Type: Article  
Language: English  
Author Keywords: Ranking; Ontology; Semantic search; Rational Research; 
RareRank algorithm  
KeyWords Plus: SEARCH; WEB  

Reprint Address: Wei, W (reprint author), Univ Nottingham, Sch Comp Sci, Fac 
Sci, Malaysia Campus UNMC, Semanyih 43500, Selangor, Malaysia  
Addresses: 

1. Univ Nottingham, Sch Comp Sci, Fac Sci, Semanyih 43500, Selangor, 
Malaysia 
2. Univ Surrey, Ctr Commun Syst Res, Fac Engn & Phys Sci, Surrey GU2 7XH, 
England  
E-mail Address: wang.wei at nottingham.edu.my  
Publisher: ELSEVIER SCIENCE INC, 360 PARK AVE SOUTH, NEW YORK, NY 
10010-1710 USA  
Web of Science Category: Computer Science, Information Systems  
Subject Category: Computer Science  
IDS Number: 796EX  
ISSN: 0020-0255  

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