Building Knowledge through Data Visualization


This webinar has been recorded and available on YouTube.

Data visualization enables analysts and organizations to see huge quantities of data clearly and identify patterns quickly. However, data volume, velocity, and variety have increased immensely in recent years and so has the need to see the links between data from many sources.

By creating visualizations with graph databases, organizations get insights from all perspectives they wish and need to explore. Even a quick glance at the relationship structure reveals where unusually large clusters of nodes or edges are.

More traditional charts and statistical visualizations are also very useful to see the structure of data. Expressing relations, graphs and data trends in a visual way turns data into knowledge.

This Webinar is designed to answer a common request from our community – how to make data visualizations from RDF datasets. Are there tools to help with developing queries? How can people who are not conversant with SPARQL get insights into data and understand its structure? How can they run SPARQL queries developed by others?

In this Webinar, Vladimir Alexiev, PhD, PMP will describe SPARQL editing and data visualization features available in the GraphDB Workbench (GDB WB), or such that can be added with little programming. We will also describe SPARQL writing aids and visualization tools that can be integrated with GraphDB.

Detailed topics:

  • Writing SPARQL;
  • Built-in SPARQL Result Visualizations;
  • Using SPARQL Results in Spreadsheets;
  • Invoking SPARQL Queries and Query Parameterization;
  • Tools that Help With Writing SPARQL Queries;
  • Tools for Statistical Visualizations;
  • Graph Visualizations: Built-in to GDB WB, Developing Graph Visualizations;
  • Visualization Toolkits;
  • Declarative Visualization;
  • RDF by Example;
  • JDBC Data Access API.

Webinar Duration: 60 minutes

Live Webinar: Yes

Live Question Answering: Yes

Resource After Webinar: Presentation and Recording

About The Speaker

Vladimir Alexiev

Vladimir Alexiev

Lead, Data and Ontology Management Group

Vladimir’s experience includes ontology engineering, metadata standards, vocabularies and thesauri, RDF, RDFS, OWL2, SHACL, SKOS, SPARQL, LOD, mapping, R2RML, ETL, semantic web applications, project management, business analysis and requirements specifications. He has worked in various business domains, from Customs and Excise, to Personal Finance workflows, to Legal Procedures and Statistics, to Cultural Heritage and Digital Humanities.