Paper Info
Title
A visual workflow to explore the web of data for scholars
Abstract
As the Web evolves in an integrated and interlinked knowledge space thanks to the growing amount of published Linked Open Data, the need to find solutions that enable the scholars to discover, explore and analyse the underlying research data emerges. Scholars, typically non-expert technology users, lack of in-depth understanding of the underlying semantic technology which limits their ability to interpret and query the data. We present a visual workflow to connect scholars and scientific resources on the Web of Data. We allow scholars to move from exploratory analysis in academic social networks to exposing relations between these resources. We allow them to reveal experts in a particular field and discover relations in and beyond their research communities. This paper aims to evaluate the potential of such a visual workflow to be used by non-expert users to interact with the semantically enriched data and familiarize with the underlying dataset.
Year
DOI
Venue
2014
10.1145/2567948.2579039
WWW (Companion Volume)
Keywords
Field
DocType
underlying semantic technology,underlying research data,non-expert user,linked open data,non-expert technology user,underlying dataset,web evolves,semantically enriched data,visual workflow,research community,information visualization,linked data,exploratory data analysis
Data science,Data mining,World Wide Web,Semantic technology,Social network,Information visualization,Computer science,Linked data,Exploratory data analysis,Workflow,Knowledge space,Exploratory search
Conference
Citations 
PageRank 
References 
3
0.41
13
Authors
6
Name
Order
Citations
PageRank
Anastasia Dimou118535.53
Laurens De Vocht217122.13
Mathias Van Compernolle3133.41
Erik Mannens467199.58
Peter Mechant58211.50
Rik Van de Walle62040238.28