Abstract

Planetary Defense (PD) has become a critical effort of protecting our home planet by discovering potentially hazardous objects (PHOs), simulating the potential impact, and mitigating the threats. Due to the lack of structured architecture and framework, pertinent information about detecting and mitigating near earth object (NEO) threats are still dispersed throughout numerous organizations. Scattered and unorganized information can have a significant impact at the time of crisis, resulting in inefficient processes, and decisions made on incomplete data. This PD Mitigation Gateway (pd.cloud.gmu.edu) is developed and embedded within a framework to integrate the dispersed, diverse information residing at different organizations across the world. The gateway offers a home to pertinent PD-related contents and knowledge produced by the NEO mitigation team and the community through (1) a state-of-the-art smart-search discovery engine based on PD knowledge base; (2) a document archiving and understanding mechanism for managing and utilizing the results produced by the PD science community; (3) an evolving PD knowledge base accumulated from existing literature, using natural language processing and machine learning; and (4) a 4D visualization tool that allows the viewers to analyze near-Earth approaches in a three-dimensional environment using dynamic, adjustable PHO parameters to mimic point-of-impact asteroid deflections via space vehicles and particle system simulations. Along with the benefit of accessing dispersed data from a single port, this framework is built to advance discovery, collaboration, innovation, and education across the PD field-of-study, and ultimately decision support.

Highlights

  • Near-Earth objects (NEOs) are asteroids, comets, and large meteoroids, and some of their orbits may intersect Earth’s orbit and may, pose a collision danger

  • By integrating, extracting, analyzing, and providing knowledge dispersed throughout different organizations and scientists, this Planetary Defense (PD) Mitigation Gateway is expected to advance in discovery, innovation, and education across government agencies and scientific communities

  • These data are later injected to our knowledge base (KB)

Read more

Summary

Introduction

Near-Earth objects (NEOs) are asteroids, comets, and large meteoroids, and some of their orbits may intersect Earth’s orbit and may, pose a collision danger. The objective of this research is to provide insights on the one-stop shop gateway for planetary defense mitigation-related data and information, available at pd.cloud.gmu.edu, built on a PD knowledge base, information mining, and reasoning mechanism It further provides a knowledge discovery engine and interactive visualization tool to better assist the development and integration of a NEO Mitigation responding system. By integrating, extracting, analyzing, and providing knowledge dispersed throughout different organizations and scientists, this PD Mitigation Gateway is expected to advance in discovery, innovation, and education across government agencies and scientific communities This gateway can become a powerful resource for scientists by providing a 5D visualization tool for mitigation that includes access to x, y, z, time, and uncertainty variables. The tool currently provides 4D (x, y, z, time) capabilities, and the uncertainty calculation functionality is under development

Searching Capabilities in Planetary Defense
A Boolean
Visualization in Planetary
Integrated Data Resource Discovery for Planetary Defense
How Are We Different from Other Domains?
Methodologies
Planetary Defense Mitigation Gateway Architecture
Smart Search
Fileto
Vocabulary Repository
Smart Search and Visualization Tool
Visualization Tool Demonstration
Example
Conclusions and FutureTable
Conclusions and Future Enhancements

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.