The Knowledge Engineering Review
Using ontologies to facilitate post-processing of association rules by domain experts
Information Sciences: an International Journal
Building ontology based knowledge maps to assist business process re-engineering
Decision Support Systems
Review: Recent developments in the organization goals conformance using ontology
Expert Systems with Applications: An International Journal
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CRISP-DM is a detailed and widely used data mining methodology that aims to provide explicit guidance regarding how the various phases of a data mining project could be executed. The `business understanding' phase marks the beginning of a data mining project and forms the foundation for the execution of the remaining phases. Unfortunately, the real-world implementation of this pivotal phase is performed in a rather unstructured and ad-hoc manner. We argue that the reason for this lies in the lack of support in form of appropriate tools and techniques that can be used to execute the large number of activities (=67) prescribed within this phase. This paper presents an organization-ontology based framework that not only incorporates the applicable tools and techniques, but also provides the ability to present the output of activities in a form that allows for at least their semi-automated integration with activities of this phase and succeeding phases.