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On-Demand and Model-Driven Case Building Based on Distributed Data Sources

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Case-Based Reasoning Research and Development (ICCBR 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14141))

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Abstract

The successful application of Case-Based Reasoning (CBR) depends on the availability of data. In most manufacturing companies these data are present, but distributed over many different systems. The distribution of the data makes it difficult to apply CBR in real-time, as data have to be collected from the different systems. In this work we propose a framework and algorithm to efficiently build a case representation on-demand and solve the challenge of distributed data in CBR. The main contribution of this work is a framework using an index for objects and the sources where data about those objects can be found. Next to the framework, we present an algorithm that operates on the framework and can be used to build case representations and construct a case base on-demand, using data from distributed sources. There are several parameters that influence the performance of the framework. Accordingly, we show in a conceptual and experimental evaluation that in highly-distributed and segregated environments the proposed approach reduces the time complexity from polynomial to linear order.

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Notes

  1. 1.

    https://wiki.eclipse.org/BaSyx_/_Documentation_/_Components_/_AAS_Server.

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Acknowledgements

This project is supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 957204, the project MAS4AI (Multi-Agent Systems for Pervasive Artificial Intelligence for assisting Humans in Modular Production). In special we would like to thank the project partners for providing insights in their use cases and the reviewers for providing valuable comments and suggestions.

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Authors and Affiliations

  1. Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, 5600MB, Eindhoven, The Netherlands

    Mark van der Pas, Remco Dijkman, Alp Akçay & Ivo Adan

  2. Semaku B.V., 5617BC, Eindhoven, The Netherlands

    Mark van der Pas & John Walker

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  1. Mark van der Pas
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  2. Remco Dijkman
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Correspondence to Mark van der Pas .

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Editors and Affiliations

  1. Robert Gordon University, Aberdeen, UK

    Stewart Massie

  2. Indian Institute of Technology Madras, Chennai, Tamil Nadu, India

    Sutanu Chakraborti

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van der Pas, M., Dijkman, R., Akçay, A., Adan, I., Walker, J. (2023). On-Demand and Model-Driven Case Building Based on Distributed Data Sources. In: Massie, S., Chakraborti, S. (eds) Case-Based Reasoning Research and Development. ICCBR 2023. Lecture Notes in Computer Science(), vol 14141. Springer, Cham. https://doi.org/10.1007/978-3-031-40177-0_5

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  • DOI: https://doi.org/10.1007/978-3-031-40177-0_5

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