  Publishing fast changing dynamic data as open data on the web in a scalable
manner is not trivial. So far the only approaches describe publishing as much
data as possible, which then leads to problems, like server capacity overload,
network latency or unwanted knowledge disclosure. With this paper we show ways
how to publish dynamic data in a scalable, meaningful manner by applying
context-dependent publication heuristics. The outcome shows that the
application of the right publication heuristics in the right domain can improve
the publication performance significantly. Good knowledge about the domain help
choosing the right publication heuristic and hence lead to very good
publication results.

Information Retrieval