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Output details

11 - Computer Science and Informatics

University of Huddersfield

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Output 36 of 54 in the submission

Output title

Personalized Provenance Reasoning Models and Risk Assessment in Business Systems: A Case Study

Type

E - Conference contribution

DOI

10.1109/SOSE.2013.53

Name of conference/published proceedings

Proceedings of 2013 IEEE Seventh International Symposium on Service-Oriented System Engineering

Volume number

Issue number

First page of article

329

ISSN of proceedings

Year of publication

2013

URL

http://doi.ieeecomputersociety.org/10.1109/SOSE.2013.53

Number of additional authors

Additional information

<15>This paper introduces a novel framework that integrates a personalized, provenance-based reasoning engine with state-of-art risk analysis algorithms to demonstrate how trust in data can be increased through a unified framework to improve high-value decision making. Rolls Royce PLC is using the approach in their Equipment Health Management system to support the health management of assets. The work is being extended at Kings College Hospital to support a monitoring system to detect events in patients suffering traumatic brain injury. The work is a culmination of several multidisciplinary research projects including Distributed Aircraft Maintenance Environment, AssessGrid, and GENeSIS.

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract