Knowledge and ontological engineering techniques for use in developing knowledge-based situation analysis support systems


  1. Roy, J.
  2. Auger, A.
Corporate Authors
Defence R&D Canada - Valcartier, Valcartier QUE (CAN);Laval Univ, Quebec Que (CAN) Departement de Genie Electrique et de Genie Informatique
Adopting a knowledge-centric view of situation analysis and information fusion requires that one cares about knowledge engineering (KE) and ontological engineering (OE) techniques. In this regard, this memorandum discusses many aspects of KE and OE, including the basic elements usually incorporated in a knowledge base (KB), the notion of a knowledge domain, and also axioms, definitions and theorems. The properties of good and bad KBs are described, and the distinction between KBs and databases is made. Some of the skills and characteristics that are desirable in knowledge engineers are listed. Discussions on KE versus programming, and also on the synergistic effect of KE, especially regarding knowledge creation and discovery, are provided. The memorandum talks about the main difficulties in knowledge acquisition, e.g., expressing, transferring and structuring the knowledge, and how these difficulties can be somewhat surmounted. Some of the main methods of knowledge acquisition, especially the various forms of interview with subject-matter experts, are reviewed. A methodology that can be used for the development of a KB is presented. The ontology development process, which refers to the management, development and support activities performed when building ontologies, is discussed, along with the evolution of the ontology development methodologies. The memorandum contributes to the development of a foundational R&D framework for two projects at Defence R&D Canada (11hg, Collab

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Knowledge-Based System;Knowledge Engineering;Ontological Engineering;Knowledge Base;Knowledge Acquisition
Report Number
DRDC-VALCARTIER-TM-2006-757 — Technical Memorandum
Date of publication
01 Oct 2008
Number of Pages

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