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.
@article{arxiv.1305.6800,
title = {Ovopub: Modular data publication with minimal provenance},
author = {Alison Callahan and Michel Dumontier},
journal= {arXiv preprint arXiv:1305.6800},
year = {2013}
}