Following the recent publication of the PROV standard for provenance on the Web this Morgan & Claypool Synthesis lecture is a hands-on
introduction to PROV aimed at Web and linked data professionals. By means of
recipes, illustrations, this site, and
tools, it guides practitioners through a variety of issues related to
provenance: how to generate provenance, publish it on the Web, make it
discoverable, and how to utilize it. Equipped with this knowledge,
practitioners will be in a position to develop novel applications
that can bring openness, trust, and accountability.
Chapter 1: Introduction
Chapter 2: Data Journalism Scenario, introduces a data
journalism example, which we use extensively across the book.
Chapter 3: The PROV Ontology, is a concise presentation
of the PROV ontology, which can be used as reference material.
Chapter 4: Provenance Recipes, is concerned with
methodological recipes on how to model provenance for specific
problems, and how to deploy it in an inter-operable manner.
Chapter 5: Validation, Compliance, Quality, Replay,
first focuses on the notion of valid provenance. It then expands on
various forms of utilization of provenance. A series of technical
requirements are introduced, and SPARQL queries are to used
illustrate how these can be implemented.
Chapter 6: Provenance Management, is dedicated to
techniques to manage provenance, and specifically to make it
available, by means of RDFa embedded in HTML documents and
Chapter 7: Conclusion, summarizes the book with a
checklist that developers can follow to check whether their
provenance is properly structured and exposed. Open issues and
future research directions are also discussed.
About the book
This book is part of the Synthesis Lectures on the Semantic Web: Theory and Technology edited by James Hendler and Ying Ding.
Please cite this book as:
Luc Moreau and Paul Groth (2013). Provenance: An Introduction to PROV. Synthesis Lectures on the Semantic Web: Theory and Technology. Morgan & Claypool.
Provenance for this book