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Title of Journal: Data Min Knowl Disc

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Abbravation: Data Mining and Knowledge Discovery

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Springer US

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DOI

10.1007/s00192-008-0659-y

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1573-756X

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Ontology of core data mining entities

Authors: Panče Panov Larisa Soldatova Sašo Džeroski
Publish Date: 2014/07/05
Volume: 28, Issue: 5-6, Pages: 1222-1265
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Abstract

In this article we present OntoDMcore an ontology of core data mining entities OntoDMcore defines the most essential data mining entities in a threelayered ontological structure comprising of a specification an implementation and an application layer It provides a representational framework for the description of mining structured data and in addition provides taxonomies of datasets data mining tasks generalizations data mining algorithms and constraints based on the type of data OntoDMcore is designed to support a wide range of applications/use cases such as semantic annotation of data mining algorithms datasets and results annotation of QSAR studies in the context of drug discovery investigations and disambiguation of terms in text mining The ontology has been thoroughly assessed following the practices in ontology engineering is fully interoperable with many domain resources and is easy to extend OntoDMcore is available at http//wwwontodmcom

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