Ontologies and Information Systems: A Literature Survey

Abstract

An ontology captures in a computer-processable language the important concepts in a particular domain and the relationships between these concepts. Ontologies are becoming increasingly pervasive in various fields of computer and information science. They are indispensable components of many complex information systems, especially systems in which communication among heterogeneous components is critical. I use the following definition of ontology, which captures the essence of the most widely adopted definitions in the field: an ontology is a specific, formal representation of a shared conceptualisation of a domain. The IO Branch of DSTO's C3ID Division is interested in the possibility of using one or more ontologies to describe computer networks and support automated reasoning about their properties (particularly security properties). This report provides a basic overview of research and development related to ontologies and their use in information systems. The primary goal of the report is to help readers to discover topics of interest and to conduct further investigation of the literature. To this end, besides information about ontologies in general, the report also includes some specific comments about the use of ontologies to model and reason about computer networks and their security.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2011
Accession Number
ADA546186

Entities

People

  • Van Nguyen

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Application Protocols
  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Birds
  • Cognitive Systems Engineering
  • Computer Network Security
  • Computer Networks
  • Computer Programming
  • Computers
  • Heterogeneous Networks
  • Information Science
  • Information Systems
  • Knowledge Management
  • Literature Surveys
  • Multiagent Systems
  • Risk Analysis

Fields of Study

  • Computer science

Readers

  • Business Analytics
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Systems Analysis and Design