188.973 Advanced Topics in Web of Data
Diese Lehrveranstaltung ist in allen zugeordneten Curricula Teil der STEOP.
Diese Lehrveranstaltung ist in mindestens einem zugeordneten Curriculum Teil der STEOP.

2013S, VU, 2.0h, 3.0EC

Merkmale

  • Semesterwochenstunden: 2.0
  • ECTS: 3.0
  • Typ: VU Vorlesung mit Übung

Ziele der Lehrveranstaltung

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.

Inhalt der Lehrveranstaltung

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

Weitere Informationen

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

Vortragende

Institut

LVA Termine

TagZeitDatumOrtBeschreibung
Fr.14:00 - 15:0005.04.2013 Seminarraum 188/1 (Favoritenstraße 9-11, 3. Stiege, 1. Stock)Opening session
Fr.14:00 - 16:0012.04.2013 Seminarraum 188/1 (Favoritenstraße 9-11, 3. Stiege, 1. Stock)Vorlesungen
Fr.14:00 - 16:0003.05.2013 Seminarraum 188/1 (Favoritenstraße 9-11, 3. Stiege, 1. Stock)Vorlesungen
Fr.14:00 - 16:0019.07.2013 Seminarraum 188/1 (Favoritenstraße 9-11, 3. Stiege, 1. Stock)Final Presentation

Leistungsnachweis

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.

LVA-Anmeldung

Von Bis Abmeldung bis
02.04.2013 12:00 30.06.2013 12:00 30.06.2013 12:00

Curricula

StudienkennzahlSemesterAnm.Bed.Info
PhD Vienna PhD School of Informatics

Literatur

Es wird kein Skriptum zur Lehrveranstaltung angeboten.

Vorkenntnisse

Semantic Web

Sprache

Englisch