Theses

The aim of this thesis is to conceive a framework for collaborative semantic annotation of multimedia via RESTful Web Services with respect to communities of practice.

Description: Our RDF repository Mediabase stores XML files with metadata extracted from user-generated content. In this thesis you will analyze content stored in our Mediabase consisting of data crawled from Web media resources such as mailing lists, blogs, or forums. You will develop several web service clients for linked open data (LOD) web services and refine the design of our existing ETL service.

The topic of the thesis is to use given models of agents in the simulation framework (RePast, NetLogo, MATLAB). The student has to experiment with simulations to find simulation settings that reproduce community structure close to reality. The other task is to calculate collaborations equilibria in a community where all collaboration participators comfortable enough not to change their collaboration strategies.

The aim of this thesis is to conceive a framework for the concept of „digital influence / network effectiveness“ in social networks and to implement and test appropriate measures on a corporate expert networking platform.

Our TargETLy service mines goals of members in learning communities. The service uses data from a forum supporting students in the preparation for a language test. In this thesis you will 1) extend the service to mine goals from other communities and 2) survey community users about mined goals.

This application shall support the streaming / progressive download of media such as audio/video content to mobile platforms such as iPhone and Android including a possible transcoding on the server side. In particular, the MPEG Extensible Middleware (MXM) shall be implemented for these platforms supporting the above application in order to guarantee interoperability among the involved entities.

Given a community of learners with certain characteristics. You need to set the simulation environment and simulate the community with parameters such that the simulated community is similar with the real community.

Mining for knowledge within open source projects! Find out which user clusters are important for the open source success and how the user migration from periphery to the community core takes place. Compare social development of the community with dynamics of OSS development process.

The aim of this thesis is to investigate and implement one or more efficient algorithms for the study of overlapping communities, which can be applied in information systems such as socio-semantic networks

In this thesis we want to develop a model of scientific careers based on both traditional impact factors and new network measures based on the example of scientific collaboration in wikis and blogs.

Connecting the power of XMPP-based audio/video communication with the broad reach of state of the art HTML5 web applications.

Develop mobile app store with integrated support for Social Requirements Engineering and study the interaction.

The objective of this bachelor thesis is to realize and enhance AERCS as a visualization tool for scientific work published in CEUR workshop proceedings series. CEUR-WS.org is a publication service of Sun SITE Central Europe operated by Tilburg University with support of RWTH Aachen University. Since its start in 1995, the number of volumes published per year has grown steadily. In 2011, CEUR-WS.org published about 10000 papers distributed over roughly 700 workshop proceedings. CEUR-WS proceedings volumes are indexed by DBLP.

Competitive videogames, also known as e-sports, is a young and growing field, gaining increasing popularity across the demographic worldwide. Unlike traditional sports like soccer or baseball, most of the games do not have established metrics and automatic analysis methods, and affords many ways of incuiry. The focus of this thesis is the application of Activity Recognition and Player Modeling techniques to match-replays of an online multiplayer videogame: DotA2 - a team game with great depth, complexity, an active competitive scene and a large player base. In the first step, a web-based match annotation platform is developed and provided to the community. Through the usage of the platform, a dataset of annotated matches is assembled in a typical crowdsourcing fashion. Existing Activity Recognition methods, utilized in Pervasive Computing for the interpretation of sensor data are adapted to event based data, trained and evaluated on the dataset, with the goal to distinguish between different characteristical players behaviours in an automated and reliable fashion. In the final step, the developed system is integrated into the previously developed annotation platform, to provide semantic understanding of new matches on demand.

This thesis will conceive, implement and deploy a dynamic topic modelling approach to expose topic dynamics within existing large community mediabases. The objective of this topic modelling approach is to identify topics as well as their bursts and shifts over time within different kinds of media in a community, e.g. in blogs, wikis, research projects, published papers.