Use of semantic technologies for the development of a dynamic
  trajectories generator in a Semantic Chemistry eLearning platform
  ChemgaPedia is a multimedia, webbased eLearning service platform that
currently contains about 18.000 pages organized in 1.700 chapters covering the
complete bachelor studies in chemistry and related topics of chemistry,
pharmacy, and life sciences. The eLearning encyclopedia contains some 25.000
media objects and the eLearning platform provides services such as virtual and
remote labs for experiments. With up to 350.000 users per month the platform is
the most frequently used scientific educational service in the German spoken
Internet. In this demo we show the benefit of mapping the static eLearning
contents of ChemgaPedia to a Linked Data representation for Semantic Chemistry
which allows for generating dynamic eLearning paths tailored to the semantic
profiles of the users.
