By Topic

Using process data to populate ontologies

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Venkataraman, P. ; Dept. Inf. Syst., New Jersey Inst. of Technol., Newark, NJ, USA ; Mendonca, D.

Ontologies are a mechanism for storing knowledge in a form that can be shared and possibly integrated into a decision support system. As in the design of other knowledge bases, the design of ontologies requires the elicitation, encoding and validation of knowledge gleaned from various sources. One approach to elicitation is the observation and analysis of experts as they perform work in the relevant domain. The analysis of such process data can lead to the identification and encoding of the knowledge that experts apply in practice. Yet despite the relevance of process data to knowledge engineering, the current research provides little guidance on how to capture process data in an ontology. This paper proposes a methodology called Process to Ontology for populating an ontology with expert knowledge as it is reflected in process data. An illustrative example of the methodology's implementation is given using data gathered from a simulated emergency response scenario.

Published in:

Systems, Man and Cybernetics, 2003. IEEE International Conference on  (Volume:3 )

Date of Conference:

5-8 Oct. 2003