Big Data Visualization (Visualizing large datasets in the Semantic Web)

  • LECTURER: Mariano Rico
  • AFFILIATION: ETSIInf, UPM

Outline

The semantic web (also know as the Linked Data Cloud) is a huge graph that requires powerful tools to allow an appropriate visualization of its content. In this seminar we will have a practical approach by means of a powerful tool: Gephi. Although this tools is aimed at visualizing and analyzing any graph, we will use specific plugins to analyze large linked-data datasets like DBpedia.

Syllabus

  1. DBpedia and the Spanish DBpedia (esDBpedia) as a big data use case.
  2. Big graphs with Gephi.
  3. Displaying linked data with Gephi.

Assessment Method

Attendance and a written work on practical cases.

Prerequisites

Basic programming skills.

Credits

0.5 ECTS

Remarks

Participants should use their laptop with Internet connection for practical sessions.

Recommended Reading

  • Bastian M., Heymann S., Jacomy M. (2009). Gephi: an open source software for exploring and manipulating networks. International AAAI Conference on Weblogs and Social Media. From AAAI.
  • Richard Brath and David Jonker (2015). Graph Analysis and Visualization. Discovering Business Opportunity in Linked Data.
  • D.E. Knuth, The Stanford GraphBase: A platform for Combinatorial Computing, Addison-Wesley 1993.

Timetable

  • 14 February, 15:00-18:00

Lecture Theatre

  • 6202

Tuition Language

English.