Willkommen auf den Seiten des Lehrstuhls "Internet-Technologien und -Systeme" von Prof. Dr. Christoph Meinel und seinem Team. Sie finden hier Informationen über unser Lehrangebot und unsere Forschungsaktivitäten in den Bereichen Security und Knowledge Engineering sowie Innovationsforschung.

Der Lehrstuhl von Prof. Dr. Christoph Meinel bietet Lehrveranstaltungen in folgenden Bereichen an: Internet und Web-Technologien, (Diskrete) Mathematik und Logik, IT-Security und Internet Security, Komplexitätstheorie und Informationssicherheit sowie Design Thinking.

In Security and Trust Engineering our research and development work is mainly focused on: Network & Internet Security, Cloud and SOA-Security (SOA - Service Oriented Architectures) and Security Awareness.

Im Fokus der Forschungen am Lehrstuhl von Prof. Dr. Christoph Meinel zum Thema Knowledge Management und Engineering steht die Frage, wie aus den im Internet und anderen Quellen massenhaft zur Verfügung stehenden digitalen Daten, "Big Data", neues Wissen generiert werden kann.

Aus den IT-technologischen Forschungen des Teams um Prof. Dr. Christoph Meinel im Bereich der Internet-Technologien und -System und der Innovationsforschung werden auch neue Ideen geboren für innovative Anwendungen und Systeme für das Internet der Zukunft.

Hier finden Sie Links zu allen unseren Textbüchern und den mehr als 400 (begutachteten) Konferenz- und Journal-Beiträgen.

Social Reputation in Digital Worlds 2012/2013

Reputation is used in our social communities as a tool of regulating society by circulating evaluations about people as well as things. It has been also an important tool in computer science, especially after the emergence of e-markets. In this course, reputation systems, their main use and differences will be discussed. The course also covers: examples of reputation systems on famous sites, design guidelines, and connections to the real world.

Course Objectives

After completing this course successfully, the student can:

Describe the objectives and capabilities of reputation systems
Analyze the pros and cons of a reputation system in its contexts
Carry out theoretical, empirical, experimental, or applied research
See different research opportunities
Present the results

Fig. Examples of systems that use different reputation models

Assessment Method

Students select a research topic from the introduced topics, and get 50% on the paper. Students earn the remaining 50% by first presenting and discussing the paper with the rest of the group, and second by implementing a small project (per team). A short abstract must be submitted and approved prior to writing the paper.

Material

A list of references....

Also, check our research activities regarding this topic.

Timing & Place

Starting date 25th of October
Time: Thursday at 13:30
Location: A-2.2

Schedule and Notes

Notes:

- The course is given in English

- Presentations of the second assignment on 10th of January is 15 min long

- For the first paper, please submit 6-pages on the 10th of January. Paper format can be found in LNCS Paper Format

week	date
1	25.10.2012	Introduction to Reputation and Reputation System
2	1.11.2012	More into Reputation Systems
3	8.11.2012	Research and team assignments 1: Compare and Contrast
4	15.11.2012	Teams Teams Assignment
5	22.11.2012	Office hours
6	29.11.2012	Presentations of research assignment 1
7	6.12.2012	Research and team assignments 2: Reputation Design
8	13-20.12.2012	Office hours
9	10.1.2013	Presentations of research assignment 2 (15min each team)
10	17.1.2013	Papers Topics Your Assignment of the Research Topic
11	24.1.2013	Office hours
12	31.1.2013	Final Research Presentations
13	7.2.2013	Final Research Presentations