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Tiny-ME Wasm: Description Logics Reasoning in Your Browser

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Current Trends in Web Engineering (ICWE 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1898))

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Abstract

The World Wide Web is increasingly adopted as an application development platform in desktop and mobile contexts. As a building block of the Semantic Web of Everything vision, reasoning engines should be able to run in the client side of Web applications without resorting to remote servers for inference tasks. In order to fill a gap in the availability of such systems, this paper proposes Tiny-ME Wasm, a WebAssembly port of the Tiny-ME Description Logics reasoning and matchmaking engine. Tiny-ME Wasm exposes standard and non-standard inference services through a JavaScript API on top of the Tiny-ME core compiled to WebAssembly. A privacy-oriented service discovery case study highlights the usefulness of the proposed solution and a preliminary performance analysis demonstrates its usability on laptop and mobile devices.

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Notes

  1. 1.

    Node.js: https://nodejs.org/.

  2. 2.

    Apache Cordova home: https://cordova.apache.org/.

  3. 3.

    HyLAR GitHub repository: https://github.com/ucbl/HyLAR-Reasoner.

  4. 4.

    AngularJS home: https://angularjs.org/.

  5. 5.

    JSW GitHub repository: https://github.com/JavaScript-WindowFramework/JSW.

  6. 6.

    EYE JS GitHub repository: https://github.com/eyereasoner/eye-js.

  7. 7.

    Emscripten home: https://emscripten.org.

  8. 8.

    Connecting C and Javascript: https://emscripten.org/docs/porting/connecting_cpp_and_javascript/embind.html.

  9. 9.

    Embind documentation: https://emscripten.org/docs/porting/connecting_cpp_and_JS/embind.html.

  10. 10.

    CMake home: https://cmake.org.

  11. 11.

    JS modules: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Modules.

  12. 12.

    https://www.ticketmaster.com.

  13. 13.

    https://developer.ticketmaster.com/products-and-docs/apis/getting-started/.

  14. 14.

    Apple M1 Max SoC, 8 performance cores @3.2 GHz and 2 efficiency cores @2.0 GHz, 64 GB UM RAM, 1 TB SSD, macOS Ventura 13.3.1, Safari 16.4 browser.

  15. 15.

    Apple A14 Bionic, 2 high-power cores @3.1 GHz and 4 low-power cores @1.8 GHz, 6 GB LPDDR4X RAM at 4266 MT/s, 128 GB NVMe SSD, iOS 15.1, Safari Mobile 15.1 browser.

  16. 16.

    Qualcomm Snapdragon 855+, 1 core @2.96 GHz, 3 cores @2.42 GHz and 4 cores @1.8 GHz, 8 GB LPDDR4X RAM, 128 GB UFS 3.0 storage, Android 12, Chrome 112.0.5615.47 browser.

  17. 17.

    Nginx: https://www.nginx.com/.

  18. 18.

    Intel Core i7-3770k CPU, 4 cores @3.5 GHz, 12 GB DDR3 RAM @1600 MT/s, 2 TB SATA SSD, Windows 10.

  19. 19.

    Hosted by a TP-Link TN-WR841N router.

  20. 20.

    https://developer.mozilla.org/en-US/docs/Web/API/Performance/now.

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Acknowledgments

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

Author information

Authors and Affiliations

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

    Giuseppe Loseto

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

    Ivano Bilenchi, Filippo Gramegna, Davide Loconte, Floriano Scioscia & Michele Ruta

Authors
  1. Giuseppe Loseto
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  2. Ivano Bilenchi
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  3. Filippo Gramegna
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  4. Davide Loconte
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  5. Floriano Scioscia
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  6. Michele Ruta
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Corresponding author

Correspondence to Floriano Scioscia .

Editor information

Editors and Affiliations

  1. Jaume I University, Castellón de la Plana, Spain

    Sven Casteleyn

  2. University of Jyväskylä, Jyväskylä, Finland

    Tommi Mikkonen

  3. Universitat Politècnica de València, Valencia, Spain

    Alberto García Simón

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

    In-Young Ko

  5. LUM “Giuseppe Degennaro” University, Casamassima, Italy

    Giuseppe Loseto

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Loseto, G., Bilenchi, I., Gramegna, F., Loconte, D., Scioscia, F., Ruta, M. (2024). Tiny-ME Wasm: Description Logics Reasoning in Your Browser. In: Casteleyn, S., Mikkonen, T., García Simón, A., Ko, IY., Loseto, G. (eds) Current Trends in Web Engineering. ICWE 2023. Communications in Computer and Information Science, vol 1898. Springer, Cham. https://doi.org/10.1007/978-3-031-50385-6_10

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  • DOI: https://doi.org/10.1007/978-3-031-50385-6_10

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  • Online ISBN: 978-3-031-50385-6

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