The University of Southampton
University of Southampton Institutional Repository

Provenance-Based Reproducibility in the Semantic Web

Moreau, Luc (2011) Provenance-Based Reproducibility in the Semantic Web Under Review

Record type: Article


Reproducibility is a crucial property of data since it allows users to understand and verify how data was derived, and therefore allows them to put their trust in such data. Reproducibility is essential for science, because the reproducibility of experimental results is a tenet of the scientific method, but reproducibility is also beneficial in many other fields, including automated decision making, visualization, and automated data feeds. To achieve the vision of reproducibility, the workflow-based community has strongly advocated the use of provenance as an underpinning mechanism for reproducibility, since a rich representation of provenance allows steps to be reproduced and all intermediary and final results checked and validated. Concurrently, multiple ontology-based representations of provenance have been devised, to be able to describe past computations, uniformly across a variety of technologies. However, such Semantic Web representations of provenance do not have any formal link with execution. Even assuming a faithful and non-malicious environment, how can we claim that an ontology-based representation of provenance enables reproducibility, since it has not been given any execution semantics, and therefore has no formal way of expressing the reproduction of computations? This is the problem that this paper tackles by defining a denotational semantics for the Open Provenance Model, which is referred to as the reproducibility semantics. This semantics is used to implement a reproducibility service, leveraging multiple Semantic Web technologies, and offering a variety of reproducibility approaches, found in the literature. The reproducibility capabilities are evaluated by means of a series of empirical experiments aimed at highlighting novel functionality. In particular, we demonstrate the ability to reproduce computations involving multiple technologies, as is commonly found on the Web.

PDF reproducibility.pdf - Author's Original
Download (439kB)

More information

Submitted date: 16 September 2010
Published date: 2011
Organisations: Web & Internet Science


Local EPrints ID: 271554
PURE UUID: fc74666c-e9dd-464c-b150-927d5630d8f0
ORCID for Luc Moreau: ORCID iD

Catalogue record

Date deposited: 16 Sep 2010 14:40
Last modified: 17 Aug 2017 16:34

Export record


Author: Luc Moreau ORCID iD

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.