HAIS 2010: Hybrid Artificial Intelligence Systems pp 14-23 | Cite as
A Survey and Analysis of Frameworks and Framework Issues for Information Fusion Applications
Conference paper
Abstract
This paper was stimulated by the proposed project for the Santander Bank-sponsored “Chairs of Excellence” program in Spain, of which the author is a recipient. That project involves research on characterizing a robust, problem-domain-agnostic framework in which Information Fusion (IF) processes of all description, to include artificial intelligence processes and techniques could be developed. The paper describes the IF process and its requirements, a literature survey on IF frameworks, and a new proposed framework that will be implemented and evaluated at Universidad Carlos III de Madrid, Colmenarejo Campus.
Keywords
Data Fusion Information Fusion Semantic Label Fusion Framework Fusion Node
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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