A model of process documentation to determine provenance in mash-ups
A model of process documentation to determine provenance in mash-ups
Through technologies such as RSS (Really Simple Syndication), Web Services, and AJAX (Asynchronous JavaScript And XML), the Internet has facilitated the emergence of applications that are composed from a variety of services and data sources. Through tools such as Yahoo Pipes, these "mash-ups" can be composed in a dynamic, just-in-time manner from components provided by multiple institutions (i.e. Google, Amazon, your neighbour). However, when using these applications, it is not apparent where data comes from or how it is processed. Thus, to inspire trust and confidence in mash-ups, it is critical to be able to analyse their processes after the fact. These trailing analyses, in particular the determination of the provenance of a result (i.e. the process that led to it), are enabled by process documentation, which is documentation of an application's past process created by the components of that application at execution time. In this paper, we define a generic conceptual data model that supports the autonomous creation of attributable, factual process documentation for dynamic multi-institutional applications. The data model is instantiated using two Internet formats, OWL and XML, and is evaluated with respect to questions about the provenance of results generated by a complex bioinformatics mash-up.
process, process documentation, provenance, data model, concept maps, mash-ups
3:1-3:31
Groth, Paul
427b9eca-c4dd-45c1-be04-3c91bb327345
Miles, Simon
76c81b8e-1ca1-4d6d-ace3-922f03df97e0
Moreau, Luc
033c63dd-3fe9-4040-849f-dfccbe0406f8
February 2009
Groth, Paul
427b9eca-c4dd-45c1-be04-3c91bb327345
Miles, Simon
76c81b8e-1ca1-4d6d-ace3-922f03df97e0
Moreau, Luc
033c63dd-3fe9-4040-849f-dfccbe0406f8
Groth, Paul, Miles, Simon and Moreau, Luc
(2009)
A model of process documentation to determine provenance in mash-ups.
ACM Transactions on Internet Technology, 9 (1), .
(doi:10.1145/1462159.1462162).
Abstract
Through technologies such as RSS (Really Simple Syndication), Web Services, and AJAX (Asynchronous JavaScript And XML), the Internet has facilitated the emergence of applications that are composed from a variety of services and data sources. Through tools such as Yahoo Pipes, these "mash-ups" can be composed in a dynamic, just-in-time manner from components provided by multiple institutions (i.e. Google, Amazon, your neighbour). However, when using these applications, it is not apparent where data comes from or how it is processed. Thus, to inspire trust and confidence in mash-ups, it is critical to be able to analyse their processes after the fact. These trailing analyses, in particular the determination of the provenance of a result (i.e. the process that led to it), are enabled by process documentation, which is documentation of an application's past process created by the components of that application at execution time. In this paper, we define a generic conceptual data model that supports the autonomous creation of attributable, factual process documentation for dynamic multi-institutional applications. The data model is instantiated using two Internet formats, OWL and XML, and is evaluated with respect to questions about the provenance of results generated by a complex bioinformatics mash-up.
Text
toit09.pdf
- Version of Record
More information
Published date: February 2009
Keywords:
process, process documentation, provenance, data model, concept maps, mash-ups
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 270861
URI: http://eprints.soton.ac.uk/id/eprint/270861
ISSN: 1533-5399
PURE UUID: 36eaaaa8-4bbd-444d-be48-8be28a45e3a2
Catalogue record
Date deposited: 20 Apr 2010 22:07
Last modified: 14 Mar 2024 09:17
Export record
Altmetrics
Contributors
Author:
Paul Groth
Author:
Simon Miles
Author:
Luc Moreau
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