A knowledge discovery service system for provenance exploration.

Liu, Qing and Zhang, Ji and James, Forbes and Xu, Kai and Dinesh, Nair A knowledge discovery service system for provenance exploration. In: International Conference on Data and Knowledge Engineering (ICDKE) 2011, 6-8, September 2011, Milan, Italy.

[img]
Preview
PDF - Published version (with publisher's formatting)
Download (455kB)

Abstract

Scientific research has moved from an isolated environment into a collaborated culture due to the data explosion and the experiment complexity. Several scientific workflow systems have been developed to support scientists to conduct the scientific analysis and create knowledge. They provide the ability to automatically record provenance, the process that led to a particular data, which can be used by
other scientists for better understanding, re-using and verifying a data product to generate new knowledge. However, most of the existing scientific workflow systems
provide poor query capability for users to effectively find relevant provenance information. It is not a trivial task due to the complexity of the workflow and the size of the provenance graphs. In this work, we propose a system architecture for provenance exploration in which querying, navigation and visualization methods are combined together. It enables effective and efficient knowledge discovery
among various provenance information generated by different workflow runs.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 8411
Useful Links:
Depositing User: Kai Xu
Date Deposited: 01 Mar 2012 06:02
Last Modified: 13 Oct 2016 14:23
URI: http://eprints.mdx.ac.uk/id/eprint/8411

Actions (login required)

Edit Item Edit Item

Full text downloads (NB count will be zero if no full text documents are attached to the record)

Downloads per month over the past year