Paper Info
Title
SCS Connector - Quantifying and Visualising Semantic Paths Between Entity Pairs.
Abstract
A key challenge of the Semantic Web lies in the creation of semantic links between Web resources. The creation of links serves as a mean to semantically enrich Web resources, connecting disparate information sources and facilitating data reuse and sharing. As the amount of data on the Web is ever increasing, automated methods to unveil links between Web resources are required. In this paper, we introduce a tool, called SCS Connector, that assists users to uncover links between entity pairs within and across datasets. SCS Connector provides a Web-based user interface and a RESTful API that enable users to interactively visualise and analyse paths between an entity pair (ei, ej) through known links that can reveal meaningful relationships between (ei, ej) according to a semantic connectivity score (SCS).
Year
DOI
Venue
2014
10.1007/978-3-319-11955-7_67
Lecture Notes in Computer Science
Keywords
Field
DocType
Semantic connectivity score,Graph visualisation,Semantic associations,Relationship discovery,Semantic UI
Graph visualisation,Web resource,Information retrieval,Computer science,Semantic Web,Cable gland,User interface,Data reuse
Conference
Volume
ISSN
Citations 
8798
0302-9743
2
PageRank 
References 
Authors
0.39
12
6
Name
Order
Citations
PageRank
Bernardo Pereira Nunes118530.96
José Herrera220.73
Davide Taibi353160.70
Giseli Rabello Lopes410716.44
Marco A. Casanova51007979.09
Stefan Dietze659768.07