Smart, Paul R.
Knowledge-Intensive Fusion for Situational Awareness: Requirements for Knowledge-Filtered Awareness.
This report aims to outline the requirements for knowledge-filtered awareness in the context of the DIF DTC ‘Knowledge-Based Information Fusion for Improved Situational Awareness’ project. Relevant literature relating to both information fusion and situation awareness is reviewed, with a particular focus on how fusion-related processes may be used to enhance situation awareness and operational effectiveness. The critical role of background knowledge as a mechanism for improving both current and future approaches to information fusion is discussed, and the role of extant Semantic Web technologies is highlighted both with respect to fusion-related processes and issues of situation awareness. Knowledge-filtered awareness is presented as the ability to constrain or filter incoming information with respect to dimensions of contextual relevance and a generic mechanism for such knowledge filtration, or information triage, is presented. We argue that a combination of ontologies and Semantic Web query languages, such as RDQL and SPARQL, are essential ingredients to knowledge-based information fusion and situation awareness respectively. In particular, we argue that queries exploiting the semantic infrastructure of an application domain can be cast as ‘goals’ for situation awareness. Such goals support ‘contextual relevance reasoning’ regarding the extent to which particular information items need to be monitored by operators engaged in a situation analysis task. We discuss the range of technologies to be exploited in the context of the current initiative and describe how these technologies are to be used in the development of the AKTiveSA TDS (Technical Demonstrator System). This report therefore reviews the requirements and constraints to be considered in respect of initiatives geared towards the development of knowledge-based information fusion systems that aim to increase situation awareness. It simultaneously presents our vision as to the technological realization of these processes in the context of a real world technology demonstrator against which empirical assessments of MOEs and situation awareness can be made.
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