Large numbers of websites contain (human-readable) infor-
mation about scheduled events, of which some may display media cap-
tured at these events. This information is, however, often incomplete and
always locked into the sites. This prevents users from creating overviews
of media associated with an event from multiple websites. We carried
out exploratory user studies with potential end-users to guide the design
of a web-based environment for supporting event-based services. Based
on our results, our goal is to provide support for exploring and selecting
events and associated media, and for discovering meaningful, surprising
or entertaining connections between events, media and participants by
consuming linked data. We assembled a large collection of event and as-
sociated media descriptions, which we interlinked with the Linked Open
Data cloud. The dataset is obtained from three large public event direc-
tories (last.fm, eventful, upcoming) represented with the LODE ontology
and from large media directories (ickr, youtube) represented with the
Media Ontology.We present the results from the user studies, the conver-
sion, interlinking and publication of the data following the best practices
of the Semantic Web community, and our initial application design.