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An Approach to Decentralized Hybrid Question Answering Systems

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Computational Science and Its Applications – ICCSA 2023 Workshops (ICCSA 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14112))

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Abstract

Question answering (QA) systems are sequence-to-sequence model based programs that find the most accurate answer to a query by using given texts. In today’s world, QA system software is run on different platforms by various institutions. This means that users have to use different QA system software, developed with different technologies on various platforms, to find the most accurate answer to their queries. However, there is a lack of systems that allow these types of systems to be used in a hybrid manner on a single interface. To address this issue, this research investigates a software architecture that will enable QA systems trained with different datasets on various platforms to be used with a single programming interface. To demonstrate the feasibility and usefulness of the proposed hybrid question answering system framework software architecture, a prototype software has been developed. The performance of the developed prototype software has been compared with standalone QA system software based on the execution time performance metric. The obtained results demonstrate that the proposed framework software architecture has negligible processing overheads.

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Authors and Affiliations

  1. Yildiz Technical University, Istanbul, Turkey

    Dilan Bakır & Mehmet S. Aktas

Authors
  1. Dilan Bakır
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  2. Mehmet S. Aktas
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Corresponding author

Correspondence to Mehmet S. Aktas .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Basilicata, Potenza, Italy

    Francesco Scorza

  6. University of Massachusetts Medical School, Worcester, MA, USA

    Yeliz Karaca

  7. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

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Bakır, D., Aktas, M.S. (2023). An Approach to Decentralized Hybrid Question Answering Systems. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2023 Workshops. ICCSA 2023. Lecture Notes in Computer Science, vol 14112. Springer, Cham. https://doi.org/10.1007/978-3-031-37129-5_3

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  • DOI: https://doi.org/10.1007/978-3-031-37129-5_3

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  • Online ISBN: 978-3-031-37129-5

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