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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