Skip to main content
padlock icon - secure page this page is secure

Exploring LOD through metadata extraction and data-driven visualizations

Buy Article:

$43.07 + tax (Refund Policy)


– The purpose of this paper is to present a new approach toward automatically visualizing Linked Open Data (LOD) through metadata analysis.


– By focussing on the data within a LOD dataset, the authors can infer its structure in a much better way than current approaches, generating more intuitive models to progress toward visual representations.


– With no technical knowledge required, focussing on metadata properties from a semantically annotated dataset could lead to automatically generated charts that allow to understand the dataset in an exploratory manner. Through interactive visualizations, users can navigate LOD sources using a natural approach, in order to save time and resources when dealing with an unknown resource for the first time.

Research limitations/implications

– This approach is suitable for available SPARQL endpoints and could be extended for resource description framework dumps loaded locally.


– Most works dealing with LOD visualization are customized for a specific domain or dataset. This paper proposes a generic approach based on traditional data visualization and exploratory data analysis literature.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: Datatype inference; Exploratory data analysis; LOD visualization; Linked Open Data; Metadata extraction; Semantic Web

Document Type: Research Article

Affiliations: University of Deusto, Bilbao, Spain

Publication date: July 4, 2016

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more