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Generating Natural Language Explanations from Knowledge-Based Systems Results, Using Ontology and Discourses Patterns

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10313))

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Abstract

The understanding of results of Knowledge-based systems (KBS) working on complex Dynamic Systems (DS) requires expert knowledge and interpretation capability in order to make a correct analysis of observations at multiple scales and instants. Normally, these kinds of KBS generate extensive inference-trees before showing a definitive result to final users; these inference-trees are not included in the KBS outputs, but they could provide additional information to understand the functioning of the KBS, and also to understand the overall performance of a DS. This document describes a method to generate natural language explanations, based on the results reached by a KBS in respect to a DS behavior, using a specific ontology and discourse patterns. The input of the method is an intermediate-state tree (the inference-tree) and specific domain knowledge represented on domain ontology. The document describes also the software architecture to generate the explanations and the test cases designed to validate the results in a specific domain.

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Acknowledgements

This work was carried out thanks to the authors’ participation in a research project in the field of copper bioleaching, Project code: IT13I20042. This project was funded by the Government of Chile through the Fund for the Promotion of Scientific and Technological Development (Fondef).

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Authors and Affiliations

  1. Department of Computing and Systems Engineering, Universidad Católica del Norte, Angamos Av. 0610, Antofagasta, Chile

    Víctor Flores, Yahima Hadfeg & Claudio Meneses

Authors
  1. Víctor Flores
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  2. Yahima Hadfeg
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  3. Claudio Meneses
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Corresponding author

Correspondence to Víctor Flores .

Editor information

Editors and Affiliations

  1. Polish-Japanese Academy of Information Technology, Warsaw, Poland

    Lech Polkowski

  2. University of Regina, Regina, SK, Canada

    Yiyu Yao

  3. University of Warmia and Mazury, Olsztyn, Poland

    Piotr Artiemjew

  4. University of Milano-Bicocca, Milano, Italy

    Davide Ciucci

  5. Southwest Jiaotong University, Chengdu, China

    Dun Liu

  6. Warsaw University, Warszawa, Poland

    Dominik Ślęzak

  7. Silesian University, Sosnowiec, Poland

    Beata Zielosko

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Flores, V., Hadfeg, Y., Meneses, C. (2017). Generating Natural Language Explanations from Knowledge-Based Systems Results, Using Ontology and Discourses Patterns. In: Polkowski, L., et al. Rough Sets. IJCRS 2017. Lecture Notes in Computer Science(), vol 10313. Springer, Cham. https://doi.org/10.1007/978-3-319-60837-2_19

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  • DOI: https://doi.org/10.1007/978-3-319-60837-2_19

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  • Online ISBN: 978-3-319-60837-2

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