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Link to original content: https://doi.org/10.1007/s13218-014-0315-2
Two-Phased Knowledge Formalisation for Hydrometallurgical Gold Ore Process Recommendation and Validation | KI - Künstliche Intelligenz Skip to main content
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Two-Phased Knowledge Formalisation for Hydrometallurgical Gold Ore Process Recommendation and Validation

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Abstract

This paper describes an approach to externalising and formalising expert knowledge involved in the design and evaluation of hydrometallurgical process chains for gold ore treatment. The objective was to create a case-based reasoning application for recommending and validating a treatment process of gold ores. We describe a twofold approach. Formalising human expert knowledge about gold mining situations enables the retrieval of similar mining contexts and respective process chains, based on prospection data gathered from a potential gold mining site. Secondly, empirical knowledge on hydrometallurgical treatments is formalised. This enabled us to evaluate and, where needed, redesign the process chain that was recommended by the first aspect of our approach. The main problems with formalisation of knowledge in the domain of gold ore refinement are the diversity and the amount of parameters used in literature and by experts to describe a mining context. We demonstrate how similarity knowledge was used to formalise literature knowledge. The evaluation of data gathered from experiments with an initial prototype workflow recommender, Auric Adviser, provides promising results.

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Notes

  1. http://mycbr-project.net.

  2. http://gate.ac.uk.

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Acknowledgments

This work was supported in part by the LOWGRADE project of the ELEMET research program funded by FIMECC Oy. The financial support of TEKES and Outotec Oyj is gratefully acknowledged as well as the financial support of Technology Industries of Finland Centennial Foundation Fund for the Association of Finnish Steel and Metal Producers.

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Authors and Affiliations

  1. School of Computing and Technology, University of West London, London, UK

    Christian Severin Sauer & Thomas Roth-Berghofer

  2. School of Chemical Technology, Research Group of Corrosion and Hydrometallurgy, Espoo, Finland

    Lotta Rintala

Authors
  1. Christian Severin Sauer
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  2. Lotta Rintala
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  3. Thomas Roth-Berghofer
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Correspondence to Christian Severin Sauer.

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Sauer, C.S., Rintala, L. & Roth-Berghofer, T. Two-Phased Knowledge Formalisation for Hydrometallurgical Gold Ore Process Recommendation and Validation. Künstl Intell 28, 283–295 (2014). https://doi.org/10.1007/s13218-014-0315-2

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  • DOI: https://doi.org/10.1007/s13218-014-0315-2

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