188.973 Advanced Topics in Web of Data
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2013S, VU, 2.0h, 3.0EC
TUWEL

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise

Aim of course

This course is aiming to explore the challenges in Web of Data and introducing the Linked Data. The Linked Data as a set of best practices for publishing and connecting structured data on the Web, is aiming to evolve the current Web into Web of Data. During the past few years, the Linked Data initiative has been constantly growing and today there is a big amount of high quality Linked Data that are made available to public.

Subject of course

1) Introduction to Semantic Web and Web of Data
2) Principles of Linked Data and Linked Open Data
3) Linked Data Consuming and applications
4) Web of data challenges and Key research areas

Additional information

This course is especially dedicated to the students of "Doctorate College of Environmental Informatics" and other informatic PhD students are also welcome to attend this course. 

ECTS Breakdown

  • Preparation: 12 hours
  • Opening session: 1 hour
  • Lectures: 6 hours
  • Conducting the reseach works and review: 44 hours
  • Presentations: 6 hours
  • Evaluation: 6 hours

Total: 75.0 hours

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Fri14:00 - 15:0005.04.2013 Seminarraum 188/1 (Favoritenstraße 9-11, 3. Stiege, 1. Stock)Opening session
Fri14:00 - 16:0012.04.2013 Seminarraum 188/1 (Favoritenstraße 9-11, 3. Stiege, 1. Stock)Lectures
Fri14:00 - 16:0003.05.2013 Seminarraum 188/1 (Favoritenstraße 9-11, 3. Stiege, 1. Stock)Lectures
Fri14:00 - 16:0019.07.2013 Seminarraum 188/1 (Favoritenstraße 9-11, 3. Stiege, 1. Stock)Final Presentation

Examination modalities

The course evaluation is based on the survey of domain litrature and also reviewing the research results of other students. Finally students need to summarize and present their findings as a scientific paper.

Course registration

Begin End Deregistration end
02.04.2013 12:00 30.06.2013 12:00 30.06.2013 12:00

Curricula

Study CodeObligationSemesterPrecon.Info
PhD Vienna PhD School of Informatics Elective

Literature

No lecture notes are available.

Previous knowledge

Semantic Web

Language

English