Agile Data Fusion and Knowledge Base Architecture for Critical Decision Support

Authors:
Zlatko Zlatev;Galina Veres;Zoheir Sabeur
Affiliations:
University of Southampton IT Innovation Centre, Southampton, Faculty of Physical Sciences and Engineering, UK;University of Southampton IT Innovation Centre, Southampton, Faculty of Physical Sciences and Engineering, UK;University of Southampton IT Innovation Centre, Southampton, Faculty of Physical Sciences and Engineering, UK
Venue:
International Journal of Decision Support System Technology
Year:
2013

Citing 4
Cited 0

Multisensor Data Fusion

Multisensor Data Fusion
2007 Special Issue: Automatic speech recognition using a predictive echo state network classifier

Neural Networks
Real-Time Emotion Recognition from Speech Using Echo State Networks

ANNPR '08 Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition
Echo State Networks for Online Prediction of Movement Data --- Comparing Investigations

ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes the architecture and deployment of a software platform for information fusion, knowledge hosting and critical decision support. The work has been carried out under the TRIDEC project www.tridec-online.eu, focusing on geo-information fusion and collaborative decision making. Four technologies underpin the architecture: 1 A message oriented middleware, for distributed communications; 2 A leveraged hybrid storage solution, for efficient storage of heterogeneous datasets and semantic knowledge; 3 A generic data fusion container, for dynamic algorithms control; and 4 A single conceptual model and schema, as systems' semantic meta-model. Deployment for industrial drilling operations is described. Agility is manifested with the ability to integrate data sources from a proprietary domain, dynamically discover new datasets and configure and task fusion algorithms to operate on them, aided by efficient information storage. The platform empowers decision support by enabling dynamic discovery of information and control of the fusion process across geo-distributed locations.