Towards an Ontology of Physics

Abstract

Meaningful interoperability between physics-based models requires a common understanding and standardized description of the physical laws governing physical objects, i.e., an ontology of physics and the resulting metadata. For example, currently, the Synthetic Environment Data Representation and Interchange Specification (SEDRIS) standard addresses the description of model data objects, their spatiotemporal coordinates, and many physical attributes. What is not described in SEDRIS are model dynamics, i.e., how a model evolves in time between the discrete states that are represented in transmittals. If model dynamics are not specified with the data, a data recipient will be required to infer how he/she should use the received data, making an inference that will vary depending on the recipient. Of the many factors that may affect model dynamics, such as military doctrine, human behavior, or physics, we focus on representing physical dynamics. This is commonly a necessary aspect of model dynamics. The key concepts in representing physical dynamics are the equations of physics, usually phrased as differential equations, and how they relate to static representations of physical objects, such as those represented in SEDRIS. This paper frames the structure of how to incorporate considerations of dynamics in an ontology of physics and begins to detail the types of physical dynamical relationships that may be modeled.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2014
Accession Number
ADA609724

Entities

People

  • Doug Clark
  • Joseph B. Collins

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computational Science
  • Computer Programs
  • Differential Equations
  • Dynamics
  • Environment
  • Equations
  • Fluid Dynamics
  • Fluid Mechanics
  • Interoperability
  • Models
  • Momentum
  • Ontologies
  • Physical Theories
  • Physics
  • Reasoning
  • Standards

Fields of Study

  • Physics

Readers

  • Acoustical Oceanography.
  • Calculus or Mathematical Analysis
  • Distributed Systems and Data Platform Development

Technology Areas

  • AI & ML