OntoDM: An Ontology of Data Mining

Pance Panov, Sašo Dzeroski, Larisa N. Soldatova

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

88 Citations (SciVal)


Motivated by the need for unification of the field of data mining and the growing demand for formalized representation of outcomes of research, we address the task of constructing an ontology of data mining. The proposed ontology, named OntoDM, is based on a recent proposal of a general framework for data mining, and includes definitions of basic data mining entities, such as datatype and dataset, data mining task, data mining algorithm and components thereof (e.g., distance function), etc. It also allows for the definition of more complex entities, e.g., constraints in constraint-based data mining, sets of such constraints (inductive queries) and data mining scenarios (sequences of inductive queries). Unlike most existing approaches to constructing ontologies of data mining, OntoDM is a deep/heavy-weight ontology and follows best practices in ontology engineering, such as not allowing multiple inheritance of classes, using a predefined set of relations and using a top level ontology.
Original languageEnglish
Title of host publicationIEEE International Conference on Data Mining Workshops, 2008. ICDMW '08
PublisherIEEE Press
Number of pages9
ISBN (Electronic)978-0-7695-3503-6
ISBN (Print)978-0-7695-3503-6
Publication statusPublished - Dec 2008
EventIEEE International Conference on Data Mining Workshops, 2008. ICDMW '08 - Pisa, Italy
Duration: 15 Dec 200819 Dec 2008


ConferenceIEEE International Conference on Data Mining Workshops, 2008. ICDMW '08
Period15 Dec 200819 Dec 2008


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