A Rule-Based Citation System for Structured and Evolving Datasets

Peter Buneman, Gianmaria Silvello

Research output: Contribution to journalArticlepeer-review

Abstract

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.
Original languageEnglish
Pages (from-to)33-41
Number of pages9
JournalIEEE Data Engineering Bulletin
Volume33
Issue number3
Publication statusPublished - Sep 2010

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