Towards Unbiased Evaluation of Uncertainty Reasoning: The URREF Ontology

Abstract

Current advances in technology, sensor collection, data storage, and data distribution have afforded more complex, distributed, and operational information fusion systems (IFSs). IFSs notionally consist of low-level (data collection, registration, and association in time and space) and high-level information fusion (user coordination, situational awareness, and mission control), which require a common ontology for effective communication and data processing. In this paper, we describe the ontology reference model developed as part of the uncertainty representation and reasoning evaluation framework (URREF). The URREF ontology is intended to provide guidance for defining the actual concepts and criteria that together comprise the comprehensive uncertainty evaluation framework being developed by the Evaluation of Technologies for Uncertainty Representation Working Group (ETURWG).

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2013
Accession Number
ADA606157

Entities

People

  • Anne-laure Jousselme
  • Erik Blasch
  • Kathryn B. Laskey
  • Paulo C. G. Costa

Organizations

  • George Mason University

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Command And Control
  • Data Processing
  • Detectors
  • Information Systems
  • Language
  • Measures Of Effectiveness
  • Military Research
  • Models
  • Precision
  • Processing Equipment
  • Reliability
  • Sensor Fusion
  • Situational Awareness
  • Standards
  • Test And Evaluation
  • World Wide Web

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Instructional Design and Training Evaluation.

Technology Areas

  • Space