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A Semantic-Based Analytics Architecture and Its Application to Commodity Pricing

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Enterprise Applications, Markets and Services in the Finance Industry (FinanceCom 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 276))

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Abstract

Over the past decade, several sophisticated analytic techniques such as machine learning, neural networks, and predictive modelling have evolved to enable scientists to derive insights from data. Data Science is characterised by a cycle of model selection, customization and testing, as scientists often do not know the exact goal or expected results beforehand. Existing research efforts which explore maximising automation, reproducibility and interoperability are quite mature and fail to address a third criterion, usability. The main contribution of this paper is to explore the development of more complex semantic data models linked with existing ontologies (e.g. FIBO) that enable the standardisation of data formats as well as meaning and interpretation of data in automated data analysis. A model-driven architecture with the reference model that capture statistical learning requirement is proposed together with a prototype based around a case study in commodity pricing.

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Notes

  1. 1.

    Function is multiple linear regression, which is a widely used form in statistical learning.

    .

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Acknowledgements

We are grateful to ANZ Bank Agribusiness unit, especially Richard Schroder and Felipe Flores, Thomson Reuters and IBM for sponsoring the Hackathon which provided the data for the case study of this paper. We are also grateful to Terry Roach and Max Gillmore for helping on different aspects of this work.

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Authors and Affiliations

  1. School of Computer Science and Engineering, University of New South Wales, Sydney, New South Wales, 2052, Australia

    Ali Behnaz, Aarthi Natarajan & Fethi A. Rabhi

  2. The University of Sydney Business School, Sydney, New South Wales, 2006, Australia

    Maurice Peat

Authors
  1. Ali Behnaz
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  2. Aarthi Natarajan
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  3. Fethi A. Rabhi
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  4. Maurice Peat
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Corresponding author

Correspondence to Ali Behnaz .

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Editors and Affiliations

  1. University of Freiburg, Freiburg, Germany

    Stefan Feuerriegel

  2. University of Freiburg, Freiburg, Germany

    Dirk Neumann

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Behnaz, A., Natarajan, A., Rabhi, F.A., Peat, M. (2017). A Semantic-Based Analytics Architecture and Its Application to Commodity Pricing. In: Feuerriegel, S., Neumann, D. (eds) Enterprise Applications, Markets and Services in the Finance Industry. FinanceCom 2016. Lecture Notes in Business Information Processing, vol 276. Springer, Cham. https://doi.org/10.1007/978-3-319-52764-2_2

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