Natural Language Technology In Multi-Source Information Fusion

Abstract

Information Fusion encompasses theory, techniques and tools conceived for exploiting the synergy in the information acquired from multiple [http://www.inforfusion.org/mission.htm]. The main issue is to improve the quality of decisions utilizing several information sources (databases, sensors, simulations). Research on information fusion has focused on applications like robotics and command and control systems, but the need of information synergy concerns more and more fields. Natural language serves as important information source in all areas of human activity, but the integration of language into fusion systems is far from satisfactory. The paper discusses employing language technology in bioinformatics, and in industrial processes.