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Semantic Matchmaking for Argumentative Intelligence in Ubiquitous Computing

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Current Trends in Web Engineering (ICWE 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1668))

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Abstract

The Semantic Web of Things enables the exchange of knowledge fragments through machine-to-machine interactions, supporting collaborative decision-making among ubiquitous smart objects. Available methodologies, however, have often limited generality of applications and interpretability of results. This paper introduces early work on a novel structured argumentation approach, integrating Dung-style abstract argumentation with Description Logics reasoning. A semantic matchmaking scheme, exploiting non-standard, non-monotonic inferences, allows the appraisal of argument relations. This enables the automatic evaluation of an argumentative graph with a graded acceptability ranking of arguments and a formal explanation. The proposal is general-purpose, but oriented toward SWoT multi-agent systems, as illustrated in a vehicular network case study.

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Acknowledgments

This work has been supported by project TEBAKA (TErritorial BAsic Knowledge Acquisition), funded by the Italian Ministry of University and Research.

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Authors and Affiliations

  1. Polytechnic University of Bari, via E. Orabona 4, 70125, Bari, Italy

    Corrado Fasciano, Michele Ruta & Floriano Scioscia

  2. Exprivia S.p.A., via A. Olivetti 11, 70056, Molfetta, Italy

    Corrado Fasciano

Authors
  1. Corrado Fasciano
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  2. Michele Ruta
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  3. Floriano Scioscia
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Corresponding author

Correspondence to Floriano Scioscia .

Editor information

Editors and Affiliations

  1. Magna Graecia University, Catanzaro, Italy

    Giuseppe Agapito

  2. Politecnico di Milano, Milano, Italy

    Anna Bernasconi

  3. Politecnico di Milano, Milano, Italy

    Cinzia Cappiello

  4. National University of Sciences and Technology, Islamabad, Pakistan

    Hasan Ali Khattak

  5. Korea Institute of Science and Technology, Daejeon, Korea (Republic of)

    InYoung Ko

  6. LUM University, Casamassima, Italy

    Giuseppe Loseto

  7. University of Primorska, koper, Slovenia

    Michael Mrissa

  8. University of Lausanne, Lausanne, Switzerland

    Luca Nanni

  9. Politecnico di Milano, Milano, Italy

    Pietro Pinoli

  10. University of Bari Aldo Moro, Bari, Italy

    Azzurra Ragone

  11. Polytechnic University of Bari, Bari, Italy

    Michele Ruta

  12. Polytechnic University of Bari, Bari, Italy

    Floriano Scioscia

  13. Indian Institute of Technology Indore, Indore, India

    Abhishek Srivastava

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Fasciano, C., Ruta, M., Scioscia, F. (2023). Semantic Matchmaking for Argumentative Intelligence in Ubiquitous Computing. In: Agapito, G., et al. Current Trends in Web Engineering. ICWE 2022. Communications in Computer and Information Science, vol 1668. Springer, Cham. https://doi.org/10.1007/978-3-031-25380-5_11

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  • DOI: https://doi.org/10.1007/978-3-031-25380-5_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-25379-9

  • Online ISBN: 978-3-031-25380-5

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