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Features and Capabilities of a Blockchain-Based Ridesharing Enhanced with Semantics

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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 integration of blockchain platforms with Artificial Intelligence (AI) technologies is increasingly frequent in research and industry. Semantic Web technologies provide peculiar opportunities, since they have been devised for information interoperability at Web scale and enable intelligent software agents for knowledge-driven task automation and decision support. The paper presents a blockchain platform extending Hyperledger Sawtooth with Knowledge Representation and Reasoning features. Semantic Smart Contracts allow annotated resource registration, discovery –leveraging non-standard inference services for semantic matchmaking–, explanation –exploiting logic-based justification provided by the adopted inferences– and selection. A prototypical semantic-enhanced ridesharing service has been built to validate the proposed framework and a time-series data collection infrastructure has been deployed for performance analysis.

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Notes

  1. 1.

    Hyperledger Sawtooth: https://www.hyperledger.org/use/sawtooth.

  2. 2.

    Sawtooth documentation: https://sawtooth.hyperledger.org/docs/1.2/.

  3. 3.

    ZeroMQ: https://zeromq.org/.

  4. 4.

    GitHub repository: https://github.com/sisinflab-swot/ridematchain.

  5. 5.

    InfluxDB: https://www.influxdata.com/.

  6. 6.

    Telegraf: https://www.influxdata.com/time-series-platform/telegraf/.

  7. 7.

    Grafana: https://grafana.com/.

  8. 8.

    Docker: https://www.docker.com/.

  9. 9.

    Docker Compose: https://docs.docker.com/compose/.

  10. 10.

    VeChain Foundation: VeChain Whitepaper 2.0 - Creating valuable TXs (December 2019) https://www.exodus.com/assets/docs/vechain-whitepaper.pdf.

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Acknowledgments

This work has been supported by Italian Ministry of Economic Development R &D project BARIUM5G (Blockchain and ARtificial Intelligence for Ubiquitous coMputing via 5G).

Author information

Authors and Affiliations

  1. Polytechnic University of Bari, 70125, Bari, Italy

    Filippo Gramegna, Arnaldo Tomasino, Floriano Scioscia & Michele Ruta

  2. LUM University “Giuseppe Degennaro”, 70010, Casamassima, BA, Italy

    Giuseppe Loseto

Authors
  1. Filippo Gramegna
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  2. Arnaldo Tomasino
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  3. Giuseppe Loseto
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  4. Floriano Scioscia
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  5. Michele Ruta
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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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Gramegna, F., Tomasino, A., Loseto, G., Scioscia, F., Ruta, M. (2023). Features and Capabilities of a Blockchain-Based Ridesharing Enhanced with Semantics. 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_9

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  • DOI: https://doi.org/10.1007/978-3-031-25380-5_9

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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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