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Data Mining and Knowledge Discovery

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01-09-2014

Ontology of core data mining entities

Authors: Panče Panov, Larisa Soldatova, Sašo Džeroski

Published in: Data Mining and Knowledge Discovery | Issue 5-6/2014

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Abstract

In this article, we present OntoDM-core, an ontology of core data mining entities. OntoDM-core defines the most essential data mining entities in a three-layered 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. OntoDM-core 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. OntoDM-core is available at http://www.ontodm.com.

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Title: Ontology of core data mining entities
Authors: Panče Panov
Larisa Soldatova
Sašo Džeroski
Publication date: 01-09-2014
Publisher: Springer US
Published in: Data Mining and Knowledge Discovery / Issue 5-6/2014
Print ISSN: 1384-5810
Electronic ISSN: 1573-756X
DOI: https://doi.org/10.1007/s10618-014-0363-0

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