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DEEP: a provenance-aware executable document system

Record type: Conference or Workshop Item (Paper)

The concept of executable documents is attracting growing interest from both academics and publishers since it is a promising technology for the the dissemination of scientific results. Provenance is a kind of metadata that provides a rich description of the derivation history of data products starting from their original sources. It has been used in many different e-Science domains and has shown great potential in enabling reproducibility of scientific results. However, while both executable documents and provenance are aimed at enhancing the dissemination of scientific results, little has been done to explore the integration of both techniques. In this paper, we introduce the design and development of DEEP, an executable document environment that generates scientific results dynamically and interactively, and also records the provenance for these results in the document. In this system, provenance is exposed to users via an interface that provides them with an alternative way of navigating the executable document. In addition, we make use of the provenance to offer a document rollback facility to users and help to manage the system's dynamic resources.

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Citation

Yang, Huanjia, Michaelides, Danius T., Charlton, Chris, Browne, William and Moreau, Luc (2012) DEEP: a provenance-aware executable document system At IPAW 2012 - 4th International Provenance and Annotation Workshop, United States. 18 - 22 Jun 2012. 15 pp, pp. 24-38. (doi:10.1007/978-3-642-34222-6_3).

More information

Published date: 20 June 2012
Venue - Dates: IPAW 2012 - 4th International Provenance and Annotation Workshop, United States, 2012-06-18 - 2012-06-22
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 340406
URI: http://eprints.soton.ac.uk/id/eprint/340406
PURE UUID: 99aac12f-0687-48c6-84b1-4778fa9f133b
ORCID for Luc Moreau: ORCID iD orcid.org/0000-0002-3494-120X

Catalogue record

Date deposited: 20 Jun 2012 18:07
Last modified: 18 Jul 2017 05:44

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Contributors

Author: Huanjia Yang
Author: Danius T. Michaelides
Author: Chris Charlton
Author: William Browne
Author: Luc Moreau ORCID iD

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