2010 13th International Conference on Information Fusion 2010
DOI: 10.1109/icif.2010.5711861
|View full text |Cite
|
Sign up to set email alerts
|

Current approaches to automated information evaluation and their applicability to Priority Intelligence Requirement answering

Abstract: Doctrinally, Priority Intelligence Requirements (PIRs) represent information that the commander needs to know in order to make a decision or achieve a desired effect. Networked warfare provides the intelligence officer with access to multitudes of sensor outputs and reports, often from unfamiliar sources. Counterinsurgency requires evaluating information across all PMESII-PT categories: Political, Military, Economic, Social, Infrastructure Information, Physical Environment and Time. How should analysts evaluat… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2010
2010
2012
2012

Publication Types

Select...
2
2

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 6 publications
0
2
0
Order By: Relevance
“…Recent researchers [3][4][5] have done many studies on integrating Semantic Web technologies with various application domains. In our study, we discuss Semantic Web technologies used in the battle management domain.…”
Section: Military Simulation Scenario Developmentmentioning
confidence: 99%
“…Recent researchers [3][4][5] have done many studies on integrating Semantic Web technologies with various application domains. In our study, we discuss Semantic Web technologies used in the battle management domain.…”
Section: Military Simulation Scenario Developmentmentioning
confidence: 99%
“…Situation and Knowledge Representations [16,17] HLIF system design [18,19] HLIF for decision support [20] HLIF evaluation [21,22] Three common themes throughout the papers include: (A) Information fusion designs support situational awareness. Advanced techniques in design (e.g.…”
Section: Fusion10 Panel Papers Overviewmentioning
confidence: 99%