Semantics Enhancing Knowledge Discovery and Ontology Engineering Using Mining Techniques: A Crossover Review

Semantics Enhancing Knowledge Discovery and Ontology Engineering Using Mining Techniques: A Crossover Review

Elena Irina Neaga (Loughborough University Leicestershire, UK)
Copyright: © 2007 |Pages: 26
DOI: 10.4018/978-1-59904-252-7.ch009
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Abstract

This chapter deals with a roadmap on the bidirectional interaction and support between knowledge discovery (Kd) processes and ontology engineering (Onto) mainly directed to provide refined models using common methodologies. This approach provides a holistic literature review required for the further definition of a comprehensive framework and an associated meta-methodology (Kd4onto4dm) based on the existing theories, paradigms, and practices regarding knowledge discovery and ontology engineering as well as closely related areas such as knowledge engineering, machine/ontology learning, standardization issues and architectural models. The suggested framework may adhere to the Iso-reference model for open distributed processing and Omg-model-driven architecture, and associated dedicated software architectures should be defined.

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