Paper Info
Title
A Link-Based Ranking Algorithm for Semantic Web Resources: A Class-Oriented Approach Independent of Link Direction
Abstract
The information space of the Semantic Web has different characteristics from that of the World Wide Web WWW. One main difference is that in the Semantic Web, the direction of Resource Description Framework RDF links does not have the same meaning as the direction of hyperlinks in the WWW, because the link direction is determined not by a voting process but by a specific schema in the Semantic Web. Considering this fundamental difference, the authors propose a method for ranking Semantic Web resources independent of link directions and show the convergence of the algorithm and experimental results. This method focuses on the classes rather than the properties. The property weights are assigned depending on the relative significance of the property to the resource importance of each class. It solves some problems reported in prior studies, including the Tightly Knit Community TKC effect, as well as having higher accuracy and validity compared to existing methods.
Year
DOI
Venue
2011
10.4018/jdm.2011010101
J. Database Manag.
Keywords
Field
DocType
class-oriented approach independent,link direction,fundamental difference,property weight,different characteristic,semantic web resources,resource description framework rdf,semantic web,main difference,tightly knit community tkc,ranking semantic web resource,link-based ranking algorithm,world wide web www,ranking,ontology
Data mining,Semantic search,Information retrieval,Semantic Web Stack,Computer science,Algorithm,Linked data,Semantic Web,Web modeling,Semantic grid,Social Semantic Web,Semantic computing
Journal
Volume
Issue
ISSN
22
1
1063-8016
Citations 
PageRank 
References 
2
0.38
22
Authors
3
Name
Order
Citations
PageRank
Hyunjung Park132013.71
Sangkyu Rho210131.81
Jinsoo Park34469267.37