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The Data Mining OPtimization Ontology

22 Pages Posted: 10 Jul 2018 First Look: Accepted

See all articles by C. Maria Keet

C. Maria Keet

University of Cape Town (UCT) - Department of Computer Science

Agnieszka Ławrynowicz

Poznan University of Technology - Institute of Computing Science

Claudia d’Amato

University of Bari - Department of Computer Science

Alexandros Kalousis

University of Applied Sciences Western Switzerland - Department of Business Informatics

Phong Nguyen

University of Geneva - Department of Computer Science

Raul Palma

Universidad Politécnica de Madrid - Ontology Engineering Group; Poznan Supercomputing and Networking Center

Robert Stevens

University of Manchester - School of Computer Science

Melanie Hilario

University of Geneva - Artificial Intelligence Laboratory

Abstract

The Data Mining OPtimization Ontology (DMOP) has been developed to support informed decision-making at various choice points of the data mining process. The ontology can be used by data miners and deployed in ontology-driven information systems. The primary purpose for which DMOP has been developed is the automation of algorithm and model selection through semantic meta-mining that makes use of an ontology-based meta-analysis of complete data mining processes in view of extracting patterns associated with mining performance. To this end, DMOP contains detailed descriptions of data mining tasks (e.g., learning, feature selection), data, algorithms, hypotheses such as mined models or patterns, and workflows. A development methodology was used for DMOP, including items such as competency questions and foundational ontology reuse. Several non-trivial modeling problems were encountered and due to the complexity of the data mining details, the ontology requires the use of the OWL 2 DL profile. DMOP was successfully evaluated for semantic meta-mining and used in constructing the Intelligent Discovery Assistant, deployed at the popular data mining environment RapidMiner.

Keywords: Ontology, OWL, Data mining, Meta-learning, Semantic meta-mining

Suggested Citation

Keet, C. Maria and Ławrynowicz, Agnieszka and d’Amato, Claudia and Kalousis, Alexandros and Nguyen, Phong and Palma, Raul and Stevens, Robert and Hilario, Melanie, The Data Mining OPtimization Ontology (2015). Journal of Web Semantics First Look. Available at SSRN: https://ssrn.com/abstract=3199185 or http://dx.doi.org/10.2139/ssrn.3199185

C. Maria Keet (Contact Author)

University of Cape Town (UCT) - Department of Computer Science ( email )

5th level
New Engineering Building Madiba Circle
South Africa

Agnieszka Ławrynowicz

Poznan University of Technology - Institute of Computing Science ( email )

Pl. Marii Skłodowskiej-Curie 5
Poznań
Poland

Claudia D’Amato

University of Bari - Department of Computer Science ( email )

Piazza Umberto I
Bari, 70121
Italy

Alexandros Kalousis

University of Applied Sciences Western Switzerland - Department of Business Informatics ( email )

Rue de la Jeunesse 1
Carouge
Switzerland

Phong Nguyen

University of Geneva - Department of Computer Science ( email )

1211 Geneva 4 – Suisse
Geneva
Switzerland

Raul Palma

Universidad Politécnica de Madrid - Ontology Engineering Group ( email )

Madrid
Spain

Poznan Supercomputing and Networking Center ( email )

Poznan
Poland

Robert Stevens

University of Manchester - School of Computer Science ( email )

Kilburn Building, Oxford Road
Manchester M13 9GH, M13 9PL
United Kingdom

Melanie Hilario

University of Geneva - Artificial Intelligence Laboratory ( email )

1211 Geneva 4 – Suisse
Geneva
Switzerland

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