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International Conference on Discovery Science

DS 2009: Discovery Science pp 257–271Cite as

Towards an Ontology of Data Mining Investigations

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 5808)

Abstract

Motivated by the need for unification of the domain of data mining and the demand for formalized representation of outcomes of data mining investigations, we address the task of constructing an ontology of data mining. In this paper we present an updated version of the OntoDM ontology, that is based on a recent proposal of a general framework for data mining and it is aligned with the ontology of biomedical investigations (OBI) . The ontology aims at describing and formalizing entities from the domain of data mining and knowledge discovery. It includes definitions of basic data mining entities (e.g., datatype, dataset, data mining task, data mining algorithm etc.) and allows extensions with more complex data mining entities (e.g. constraints, data mining scenarios and data mining experiments). Unlike most existing approaches to constructing ontologies of data mining, OntoDM is compliant to best practices in engineering ontologies that describe scientific investigations (e.g., OBI ) and is a step towards an ontology of data mining investigations. OntoDM is available at: http://kt.ijs.si/panovp/OntoDM/ .

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  • DOI: 10.1007/978-3-642-04747-3_21
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Author information

Authors and Affiliations

  1. Jožef Stefan Institute, Jamova cesta 39, SI-1000, Ljubljana, Slovenia

    Panče Panov & Sašo Džeroski

  2. Aberystwyth University, Penglais, Aberystwyth, SY23 3DB, Wales, UK

    Larisa N. Soldatova

Authors
  1. Panče Panov
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  2. Larisa N. Soldatova
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  3. Sašo Džeroski
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Editor information

Editors and Affiliations

  1. Faculty of Economics; Rua Dr. Roberto Frias, University of Porto, 4200-465, Porto, Portugal

    João Gama

  2. DCC-FC, Universidade do Porto, Portugal

    Vítor Santos Costa

  3. LIACC/FEP, Universidade do Porto, Portugal

    Alípio Mário Jorge

  4. LIAAD-INESC Porto L.A./Faculty of Economics, University of Porto, Rua de Ceuta, 118-6, 4050-190, Porto, Portugal

    Pavel B. Brazdil

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Panov, P., Soldatova, L.N., Džeroski, S. (2009). Towards an Ontology of Data Mining Investigations. In: Gama, J., Costa, V.S., Jorge, A.M., Brazdil, P.B. (eds) Discovery Science. DS 2009. Lecture Notes in Computer Science(), vol 5808. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04747-3_21

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  • DOI: https://doi.org/10.1007/978-3-642-04747-3_21

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