Paper Info
Title
Extraction Patterns To Derive Social Networks From Linked Open Data Using Sparql
Abstract
Linked Open Data (LOD) refers to freely available data on the World Wide Web that are typically represented using the Resource Description Framework (RDF) and standards built on it. LOD is an invaluable resource of information due to its richness and openness, which create new opportunities for many areas of application. In this paper, we address the exploitation of LOD by utilizing SPARQL queries in order to extract social networks among entities. This enables the application of de-facto techniques from Social Network Analysis (SNA) to study social relations and interactions among entities, providing deep insights into their latent social structure.
Year
DOI
Venue
2020
10.3390/info11070361
INFORMATION
Keywords
DocType
Volume
linked open data, social networks, RDF, SPARQL algebra, extraction patterns
Journal
11
Issue
Citations 
PageRank 
7
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Raji Ghawi1193.64
Jürgen Pfeffer234626.57