Agile Data Fusion and Knowledge Base Architecture for Critical Decision Support

• Published in: International journal of decision support system technology Vol. 5; no. 2; pp. 1 - 20
• Main Authors: Zlatev, Zlatko, Veres, Galina, Sabeur, Zoheir
• Format: Journal Article
• Language: English
• Published: Hershey IGI Global 01.04.2013
• Subjects: Algorithms; Analysis; Architecture; Collaboration; Data fusion; Data integration; Datasets; Decision support systems; Decision-making; Drilling and boring; Dynamical systems; Dynamics; Information storage; Information storage and retrieval; Knowledge bases (artificial intelligence); Mathematical models; Middleware; Semantics
• ISSN: 1941-6296; 1941-630X
• DOI: 10.4018/jdsst.2013040101

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.