DEEP: a provenance-aware executable document system


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

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Description/Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Related URLs:
Subjects: H Social Sciences > HA Statistics
Q Science > QA Mathematics > QA76 Computer software
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Web & Internet Science
ePrint ID: 340406
Date Deposited: 20 Jun 2012 18:07
Last Modified: 14 Apr 2014 11:43
Research Funder: ESRC
Projects:
NATIONAL CENTRE FOR E-SOCIAL SCIENCE QUANTITATIVE NODE
Funded by: ESRC (RES-149-25-1084)
Led by: William John Browne
1 September 2009 to 31 December 2012
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/340406

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