The University of Southampton
University of Southampton Institutional Repository

Knowledge-Intensive Fusion for Situational Awareness: Requirements for Knowledge-Filtered Awareness

Knowledge-Intensive Fusion for Situational Awareness: Requirements for Knowledge-Filtered Awareness
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.
s.n.
Smart, Paul R.
cd8a3dbf-d963-4009-80fb-76ecc93579df
Smart, Paul R.
cd8a3dbf-d963-4009-80fb-76ecc93579df

Smart, Paul R. (2005) Knowledge-Intensive Fusion for Situational Awareness: Requirements for Knowledge-Filtered Awareness s.n. (In Press)

Record type: Monograph (Project Report)

Abstract

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.

PDF
Requirements_for_Knowledge_Awarenessv8.pdf - Other
Download (1MB)

More information

Accepted/In Press date: 15 August 2005
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 261066
URI: https://eprints.soton.ac.uk/id/eprint/261066
PURE UUID: 7d3191d3-ec5e-4e97-bae2-0258dd1d7856
ORCID for Paul R. Smart: ORCID iD orcid.org/0000-0001-9989-5307

Catalogue record

Date deposited: 16 Jul 2005
Last modified: 06 Jun 2018 12:46

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×