1. Topics in Web Science SS 2017 Prof. Wolfgang Nejdl, Andrea Ceroni

2. Aim of the Course Insights into contemporary Web research
Introduction to Web Science:
A new interdisciplinary research area
Wolfgang Nejdl
21/11/18

3. Course Organization
An introductory lecture per topic is given along with 3-5 state-of-the-art research articles presenting recent advances in the topic (April, May)
Each student presents two articles, on a topic of her/his choice, in the second part of the course (June, July).
Each student reads all articles (~4 papers per topic) suggested by the lecturers (links to the papers are available at the course web page).
In the oral exam detailed questions about the two selected papers and general questions about other papers have to be answered by the student
Advice: Attending the presentations from the lecturers and the students will be a great help to understand the papers.
Wolfgang Nejdl
21/11/18

4. Topics Event Detection Fairness and Transparency for Big Data Analysis
Mining the Social Web
Crowdsourcing
Multilingual Information Access
Accessing Web Archives
Semantic Text Mining
TBD
Wolfgang Nejdl
21/11/18

5. Student Paper Presentations
Each student picks two papers for presentation
First-come first-served
2-3 students are presenting their topics per lecture
(30min. presentation + 15min. questions)
Coaches help students understand papers and give
feedback on the presentations
Wolfgang Nejdl
21/11/18

6. Oral Exam in August / September
Possible dates will be announced
Detailed questions on the paper you presented
More general questions on other presented papers
Wolfgang Nejdl
21/11/18

7. Next Web Science Lecture
May 2, 2017, 15:00-16:30, Multimedia-Hörsaal ( )
On June 27, the lecture will be in the Multimedia Room, Appelstr. 9, 15th floor
Wolfgang Nejdl
21/11/18

8. Course Web Page and Contacts
Contact Contact persons: Andrea ceroni, Appelstr. 4, ground floor
Wolfgang Nejdl
21/11/18