By Topic

Applying an Ontology Learning Methodology to a Relational Database: University Case Study

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

3 Author(s)
Gil, R. ; Dept. of Processes & Syst., Simon Bolivar Univ., Caracas, Venezuela ; Martín-Bautista, M.J. ; Contreras, L.

Important knowledge can be recovered from relational database (RDB) associated with some information system specific domains and converted to semantics. Studying the processes and Methodological Resources (MR) for this conversion has gained relevance in Knowledge Engineering and, particularly, in the Ontology Learning (OL) field. Such MR, organized in an appropriate manner under a methodological strategy, will make it possible to take advantage of existing tools for converting the cited RDB to domain ontologies. A comparative conversion-tool analysis, having considered the tools capabilities, learning levels and some advantages, has been useful for selecting and aligning those tools with the methodology applied to the case study. Finally, the methodological strategy design and its application under a Systemic Methodology for OL (SMOL) is shown.

Published in:

Semantic Computing (ICSC), 2010 IEEE Fourth International Conference on

Date of Conference:

22-24 Sept. 2010