Ontology for the Gridded Met Database

Abstract

The concept of net-centricity requires not only interconnection of individual soldiers, but of their machines. Processing the vast ocean of information from sensors and the Internet will require sophisticated machine-to-machine communication and interoperability. By attaching semantic markup or meaning to information, the Semantic Web takes a large step in advancing human-machine and machine-machine communication. In this report, we describe the development of an ontology designed to capture much of the semantic information in the Gridded Meteorological Database (GMDB). In part, the ontology developed is based on the GMDB metadata descriptions; however, the ontology developed goes beyond the metadata description in that it contains information about the semantic relationships between the metadata entities and attributes that the metadata descriptions do not capture. The ontology developed and described here is essentially a prototype. An operational version should incorporate both an expanded set of meteorological and meteorological effects entities and have a more detailed semantic structure.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2007
Accession Number
ADA470625

Entities

People

  • Edward M. Measure

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Temperature
  • Altitude
  • Barometric Pressure
  • Computer Science
  • Databases
  • Department Of Defense
  • Electronic Mail
  • Heat Energy
  • Information Processing
  • Information Systems
  • Latent Heat
  • Markup Languages
  • Measurement
  • Meteorology
  • Models
  • Water Vapor
  • Xml

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.