The detection of redundant or reused passages in texts is an important basis for various tasks including tracking of information flow, plagiarism detection, origin detection, web search and information retrieval. Being able to track the evolution of a piece of information through different...

Due to increasing professionalization and specialization in the development of computer and video games new challenges regarding the support of knowledge-intensive activities emerge. This paper aims at sensitizing and systematizing the needs and potentials for continuous integration of knowledge...

The importance of comprehensive annotations for learning resources is widely recognized. However, it is often unclear how these annotations should be created. A promising solution might be that learners annotate learning resources during execution of learning processes. This paper examines...

In this paper an approach is presented how self-regulated learning can be supported and stimulated by visualising knowledge and competence structures in order to provide visual guidance in the learning process. In the field of adaptive systems and related research techniques of intelligent...

Determining fields of excellence in the know-how of knowledge intensive companies is often a crucial decisional process, aimed e.g., at identifying the competence to be strengthened or to invest on in a long term strategy. In this paper we propose a semantic-based approach for automatic...