An ontology engineering approach for knowledge discovery from data in evolving domains
Files
Date
Authors
Supervisor
Item type
Journal Article
Degree name
Journal Title
Journal ISSN
Volume Title
Publisher
WIT Press/COPPE/Federal University of Rio de Janeiro
Abstract
Knowledge discovery in evolving domains presents several challenges in information extraction and knowledge acquisition from heterogeneous, distributed, dynamic data sources. We define an evolving process if the process is developing, changing over time in a continuous manner. Examples of such domains include biological sciences, medical sciences, and social sciences, among others. This paper describes research in progress on a new methodology for leveraging the semantic content of ontologies to improve knowledge discovery in complex and dynamical domains. We consider in this initial stage the problem of how to acquire previous knowledge from data and then use this information in the context of ontology engineering.Description
Keywords
Source
Data Mining IV, vol.7, pp.43 - 52
Rights statement
Copyright © WIT Press 2004. NOTICE: this is the author’s version of a work that was accepted for publication. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in (see Citation). The original publication is available at (see Publisher's Version)