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Ontology of core data mining entities

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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

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We would like to acknowledge the support of the European Commission through the project MAESTRA—Learning from Massive, Incompletely annotated, and Structured Data (Grant Number ICT-2013-612944).

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Correspondence to Panče Panov.

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Responsible editor: Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný



Table 7 Relations used in the OntoDM-core ontology
Table 8 Examples of OntoDM-core competency questions
Table 9 Scope and structure assessment
Table 10 Naming and vocabulary assessment
Table 11 Documentation and collaboration assessment
Table 12 Availability, maintenance and use assessment
Table 13 Formalization of the OntoDM-core competency questions using the SPARQL-DL language

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Panov, P., Soldatova, L. & Džeroski, S. Ontology of core data mining entities. Data Min Knowl Disc 28, 1222–1265 (2014).

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