Semantic Information Management Control of Mission Asset State Changes

Abstract

Managing state changes for semantically represented mission assets can be complex and burdensome. Standard practice simplifies updating state-based relationships by performing sequential delete and add operations, or by creating a new instance of the asset with updated state values. The former is inflexible and constraining as it eliminates historical state tracing, making it impossible to implement state provenance and advanced semantic queries. The latter causes mass duplication of non-stateful attributes while requiring asset redefinitions upon each stateful relationship change event. Our research implements an alternative solution by representing the asset definition once and declaring each state change as an instance specialization under the W3C Provenance Ontology (Prov-O).

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2014
Accession Number
ADA606779

Entities

People

  • Gregory Hasseler
  • Jason Bryant
  • Matthew Paulini
  • Tim Lebo

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Artificial Intelligence
  • Battle Damage Assessment
  • Command And Control
  • Computational Linguistics
  • Computer Science
  • Damage Assessment
  • Language
  • Linguistics
  • Military Research
  • Models
  • Ontologies
  • Semantic Models
  • Semantics
  • Specialization
  • Standards

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Computational Linguistics
  • Database Systems and Applications