Technologies for Army Knowledge Fusion

@inproceedings{Scherl2004TechnologiesFA,
  title={Technologies for Army Knowledge Fusion},
  author={R. Scherl and D. L. Ulery},
  year={2004}
}
Abstract : The fusing of information to provide a real-time situational awareness and common relevant operational picture of events both within and outside the battlespace requires the integration and use of heterogeneous civilian and military sources. Knowledge fusion, also called information fusion and multisensor data fusion, names the body of techniques needed to accomplish this critical need of the U.S. Army. The area builds upon and integrates results from a variety of fields, including… Expand
Context-based knowledge fusion patterns in decision support system for emergency response
TLDR
The found patterns give a general idea of knowledge fusion processes taking place at the operational stage of decision support system functioning, i.e. the stage where context-aware functions of the system come into operation. Expand
Applying the semantic Web expert system shell to sensor fusion using Dempster-Shafer theory
  • O. Thomas, D. Russomanno
  • Computer Science
  • Proceedings of the Thirty-Seventh Southeastern Symposium on System Theory, 2005. SSST '05.
  • 2005
TLDR
The semantic Web expert system shell (SWEXSYS) is applied as a development framework for implementing a variety of sensor fusion algorithms in the context of the semantic Web and an approach to level one sensor fusion using the Dempster-Shafer theory of uncertainty is discussed. Expand
Semantic Technologies and Enhanced Situation Awareness
Situation awareness is a critical element of military decision superiority in a wide variety of operational contexts. Improved situation awareness can benefit operational effectiveness byExpand
Rule-Based Intelligence on the Semantic Web: Implications for Military Capabilities
TLDR
This report provides an overview of the rules, rule languages and rule engines that are currently available to support ontology-based reasoning, and discusses some of the limitations of these technologies in terms of their inability to cope with uncertain or imprecise data and their poor performance in some reasoning contexts. Expand
Architecture of knowledge fusion within an Integrated Mobile Security Kit
TLDR
The architecture of the knowledge fusion sub-system, the domain model for integrating the fusion aspects and the specification of the inner workings of the three different fusion aspects are described. Expand
Context-Aware Knowledge Fusion for Decision Support
TLDR
The purpose of this chapter is to investigate knowledge fusion processes with reference to context-aware decision support for emergency management, which provides fused outputs from different knowledge sources. Expand
Knowledge Fusion and Evaluation System with Fusion-Knowledge Measure
TLDR
The results show that knowledge fusion algorithm and its evaluation mechanism are beneficial to find the better and potential knowledge, and the semantic relativity and the accuracy of fusion-knowledge are improved. Expand
Theoretical Considerations for Battlespace Information Mediation
TLDR
A modest start on back-of-the-envelope analyses of battlespace digitization and fusion problems is intended to encourage network scientists and analysts of tactical information concerns to generate discussions about information fusion modeling for research and hypothesis testing. Expand
Knowledge-Intensive Fusion for Situational Awareness
ALL RECIPIENTS OF THIS REPORT ARE ADVISED THAT IT MUST NOT BE COPIED IN WHOLE OR IN PART OR BE GIVEN FURTHER DISTRIBUTION OUTSIDE THE AUTHORITY OF THE PRIME CONTRACTOR WITHOUT THE WRITTEN APPROVAL OFExpand
Knowledge Fusion Patterns for Design of Context-Aware Decision Support Systems
TLDR
The objective of the research is to offer a methodology providing a feasible functionality of context-aware systems for the users by Matching the system's requirements against the user's requirements to the system functionality and theuser's constraints on the sources of information and knowledge enables to offer feasible system functionality to the users. Expand
...
1
2
3
...

References

SHOWING 1-10 OF 270 REFERENCES
Mathematics of data fusion
TLDR
This volume is intended to be both an update on research progress on data fusion and an introduction to potentially powerful new techniques: fuzzy logic, random set theory, and conditional and relational event algebra. Expand
Multisensor Data Fusion
TLDR
The idea is that fusion of complementary information available from different sensors will yield more accurate results for information processing problems and perfect emulation of the human brain remains an elusive goal. Expand
Multisensor Data Fusion
TLDR
This new edition is now in two volumes and contains nine new chapters and focuses on the most recent developments in the fusion of data in a variety of applications from military to automotive to medical. Expand
TOWARD A GENERIC ARCHITECTURE FOR MULTISOURCE INFORMATION FUSION
This paper sketches a design for software for building, composing, and maintaining information fusion application software. It is intended to support a broad range of information fusion applicationsExpand
Revisions to the JDL data fusion model
The Data Fusion Model maintained by the Joint Directors of Laboratories (JDL) Data Fusion Group is the most widely-used method for categorizing data fusion-related functions. This paper discusses theExpand
Mathematical Techniques in Multisensor Data Fusion
TLDR
This invaluable reference shows how to implement a data fusion system, describes the process for algorithm selection, functional architectures and requirements for ancillary software, and illustrates man-machine interface requirements an database issues. Expand
BIG: An agent for resource-bounded information gathering and decision making
TLDR
The rationale, architecture, and implementation of a next generation information gathering system—a system that integrates several areas of Artificial Intelligence research under a single umbrella is described. Expand
Combining artificial intelligence and databases for data integration
TLDR
Works aimed at applying techniques from Artificial Intelligence to the problem of data integration are discussed, including projects that made use of Machine Learning techniques for extracting data from sources and planning techniques for query optimization. Expand
Hybrid Knowledge Bases
TLDR
The theory tightly unifies the constraint logic programming scheme of Jaffar and Lassez (1987), the generalized annotated logic programming theory of Kifer and Subrahmanian (1989), and the stable model semantics of Gelfond and Lifschitz (1988). Expand
High Performance Knowledge Bases: four approaches to knowledge acquisition, representation and reasoning for workaround planning
TLDR
This paper describes the four approaches that were applied to solve the challenge of solving a selection of knowledge-based planning problems in a particular domain and then modifying their systems quickly to solve further problems in the same domain. Expand
...
1
2
3
4
5
...