A Rule-Based Citation System for Structured and Evolving Datasets
Peter Buneman, Gianmaria Silvello · Padua Research Archive (University of Padova) · 2010
We consider the requirements that a citation system must fulfill in order to cite structured and evolving data sets. Such a system must take into account variable granularity, context and the temporal dimension. We look at two examples and discuss the possible forms of citation to these data sets. We also describe a rule-based system that generates citations which fulfill these requirements.