  With the growth of the Semantic Web as a medium for creating, consuming,
mashing up and republishing data, our ability to trace any statement(s) back to
their origin is becoming ever more important. Several approaches have now been
proposed to associate statements with provenance, with multiple applications in
data publication, attribution and argumentation. Here, we describe the ovopub,
a modular model for data publication that enables encapsulation, aggregation,
integrity checking, and selective-source query answering. We describe the
ovopub RDF specification, key design patterns and their application in the
publication and referral to data in the life sciences.
