Enhancing Command and Control (C2) Assessment through Semantic Systems
Abstract
Assessment, conducted at all levels of civil-military operations - strategic, operational, and tactical, provides commanders with analysis that is essential to the successful execution of campaigns and delivery of their objectives. The failings of assessment in recent operations, including ad-hoc processes, paucity of IT support tools, and limitations of data acquisition, correlation, analysis and visualization are well documented. This shortfall in assessment capability has undoubtedly hampered most recent operations and certainly has the potential to derail even the best of future operational plans. The variability of data sources, analyst confidence, and the ability to readily access and visualize evidence from the operational environment all provide obstacles in the collation, integration, and analysis of assessment data. To address these issues, this paper proposes utilizing abstract models to re-align data and semantic networks to provide reasoning and inferencing of higher level concepts. One such capability focuses on the integration of data from disparate structured and unstructured sources into data abstractions while another focuses on re-orienting data to provide a more comprehensive view of the information for human analysis. These capabilities, combined with others, provide additional resources to commanders and analysts for timely decision making and achievement of objectives.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 2011
- Accession Number
- ADA547108
Entities
People
- Anton Defrancesco
- Phil Warlick
- Redvers Thompson