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Human-Centric Question-Answering System with Linguistic Terms

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Artificial Intelligence in Control and Decision-making Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1087))

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Abstract

Current Question-Answering Systems can automatically answer questions posed by humans in a natural language. However, most of them can only answer questions that do not contain imprecise concepts and lead to short answers. This paper introduces a Human-Centric Question-Answering system capable of answering questions containing user-defined, personalized linguistic terms. The system works with information represented in the form of knowledge graphs. We describe the system and present its main components, emphasizing a few extensions that make the system distinctive. We illustrate the execution of the system with a few examples.

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Notes

  1. 1.

    SPARQL is a semantic query language for querying information represented in the form of RDF triples. RDF—Resource Description Framework—is a method for representing graph data.

  2. 2.

    A summarization process is a topic of other publications.

  3. 3.

    A Knowledge Graph identified by the user as a data source for querying.

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Author information

Authors and Affiliations

  1. Nam Dinh University of Technology Education, Nam Dinh, Vietnam

    Nhuan D. To

  2. University of Alberta, Edmonton, Canada, T6G 1H9

    Marek Z. Reformat

  3. University of Social Sciences, 90-113, Łódź, Poland

    Marek Z. Reformat

  4. Iona College, New Rochelle, NY, USA

    Ronald R. Yager

  5. King Abdelaziz University, Jeddah, Saudi Arabia

    Ronald R. Yager

Authors
  1. Nhuan D. To
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  2. Marek Z. Reformat
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  3. Ronald R. Yager
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Corresponding author

Correspondence to Nhuan D. To .

Editor information

Editors and Affiliations

  1. Department of Intelligent Information Systems, Petro Mohyla Black Sea National University, Mykolaiv, Ukraine

    Yuriy P. Kondratenko

  2. Department of Computer Science, University of Texas at El Paso, El Paso, TX, USA

    Vladik Kreinovich

  3. Department of Electrical and Computer Engineering, Faculty of Engineering, University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  4. Department of Optimization of Controlled Processes, Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Kyiv, Ukraine

    Arkadii Chikrii

  5. Department of Business, Faculty of Economy and Business, University of Barcelona, Barcelona, Spain

    Anna M. Gil-Lafuente

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To, N.D., Reformat, M.Z., Yager, R.R. (2023). Human-Centric Question-Answering System with Linguistic Terms. In: Kondratenko, Y.P., Kreinovich, V., Pedrycz, W., Chikrii, A., Gil-Lafuente, A.M. (eds) Artificial Intelligence in Control and Decision-making Systems. Studies in Computational Intelligence, vol 1087. Springer, Cham. https://doi.org/10.1007/978-3-031-25759-9_12

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