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Ontology-Based Platform for Conceptual Guided Dataset Analysis

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Book cover Distributed Computing and Artificial Intelligence, 13th International Conference

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 474))

Abstract

Nowadays organizations should handle a huge amount of both internal and external data from structured, semi-structured, and unstructured sources. This constitutes a major challenge (and also an opportunity) to current Business Intelligence solutions. The complexity and effort required to analyse such plethora of data implies considerable execution times. Besides, the large number of data analysis methods and techniques impede domain experts (laymen from an IT-assisted analytics perspective) to fully exploit their potential, while technology experts lack the business background to get the proper questions. In this work, we present a semantically-boosted platform for assisting layman users in (i) extracting a relevant subdataset from all the data, and (ii) selecting the data analysis technique(s) best suited for scrutinising that subdataset. The outcome is getting better answers in significantly less time. The platform has been evaluated in the music domain with promising results.

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Author information

Authors and Affiliations

  1. Computational Bioscience Research Center, King Abdullah University of Science and Technology, 4700 KAUST, P.O. Box 2882, Thuwal, 23955-6900, Kingdom of Saudi Arabia

    Miguel Ángel Rodríguez-García

  2. Universidad de Guayaquil, Cdla. Universitaria Salvador Allende, Guayaquil, Ecuador

    José Medina-Moreira & Harry Luna-Aveiga

  3. Universidad Agraria del Ecuador, Avenida 25 de julio, Guayaquil, Ecuador

    Katty Lagos-Ortiz

  4. Departamento de Informática y Sistemas, Universidad de Murcia, 30100, Murcia, Spain

    Francisco García-Sánchez & Rafael Valencia-García

Authors
  1. Miguel Ángel Rodríguez-García
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  2. José Medina-Moreira
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  3. Katty Lagos-Ortiz
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  4. Harry Luna-Aveiga
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  5. Francisco García-Sánchez
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  6. Rafael Valencia-García
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Corresponding author

Correspondence to Rafael Valencia-García .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, Osaka Institute of Technology Faculty of Engineering, Osaka, Osaka, Japan

    Sigeru Omatu

  2. Faculty of Computer Science & Informatio, Universiti Teknologi Malaysia (UTM) Faculty of Computer Science & Informatio, Baharu, Malaysia

    Ali Semalat

  3. Department of Electronics and Compu, Koszalin University of Technology Department of Electronics and Compu, Koszalin, Poland

    Grzegorz Bocewicz

  4. Faculty of Electrical Engineering and Cs, Kielce University of Technology Faculty of Electrical Engineering and Cs, Kielce, Poland

    Paweł Sitek

  5. Faculty of Engineering and Science, Aalborg University Faculty of Engineering and Science, Aalborg, Denmark

    Izabela E. Nielsen

  6. ETS Ingeniería Informática, University of Sevilla ETS Ingeniería Informática, Sevilla, Spain

    Julián A. García García

  7. Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid Departamento de Inteligencia Artificial, Madrid, Spain

    Javier Bajo

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Rodríguez-García, M.Á., Medina-Moreira, J., Lagos-Ortiz, K., Luna-Aveiga, H., García-Sánchez, F., Valencia-García, R. (2016). Ontology-Based Platform for Conceptual Guided Dataset Analysis. In: Omatu, S., et al. Distributed Computing and Artificial Intelligence, 13th International Conference. Advances in Intelligent Systems and Computing, vol 474. Springer, Cham. https://doi.org/10.1007/978-3-319-40162-1_17

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  • DOI: https://doi.org/10.1007/978-3-319-40162-1_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40161-4

  • Online ISBN: 978-3-319-40162-1

  • eBook Packages: EngineeringEngineering (R0)

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