Ontology Driven Sensor Independence in a Query Supported C2-System

Abstract

Information systems requiring sensor data input must generally include means for sensor data fusion as well as powerful mechanisms for user interaction and result visualization. From a user perspective the use of sensor data requires knowledge about the attached sensors and the data they generate. However, most end-user do not possess this kind of knowledge and for this reason techniques for sensor data independence must be developed to ensure that the users easily can apply their queries and interpret the result without too much trouble. In this work, an information system including a query language that can be applied to multiple sensor data is described. The query language allows data fusion when ever necessary. To facilitate query composition the query language has been furnished with a visual user interface that allows the end-users to apply their queries in a simple way. Furthermore, the query language has also been supplied with means for sensor data independence to make it possible for the endusers to apply queries without specific sensor and sensor data domain knowledge. The sensor data independence is made possible by an ontological knowledge base system.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2004
Accession Number
ADA427987

Entities

People

  • Erland Jungert
  • Karin Silvervarg
  • Tobias Horney

Organizations

  • Swedish Defence Research Agency

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Application Software
  • Artificial Intelligence
  • Computer Vision
  • Data Fusion
  • Databases
  • Geographic Information Systems
  • Information Systems
  • Intervals
  • Language
  • Object Recognition
  • Ontologies
  • Recognition
  • Time Intervals
  • User Interface
  • Visualizations

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Database Systems and Applications
  • Optical Fiber Sensing and Electromagnetic Propagation.