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Hypermedea: A Framework for Web (of Things) Agents

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Published:16 August 2022Publication History

ABSTRACT

Hypermedea is an extension of the JaCaMo multi-agent programming framework to act on Web and Web of Things environments. In this demo, the performance of Hypermedea’s Linked Data navigation and planning components are evaluated, both encapsulating computation-intensive algorithms.

References

  1. Olivier Boissier, Rafael H. Bordini, Jomi Fred Hübner, and Alessandro Ricci. 2020. Multi-agent oriented programming: programming multi-agent systems using JaCaMo. The MIT Press, Cambridge, Massachusetts.Google ScholarGoogle Scholar
  2. Andrei Ciortea, Olivier Boissier, and Alessandro Ricci. 2019. Engineering World-Wide Multi-Agent Systems with Hypermedia. In EMAS 2019.Google ScholarGoogle Scholar
  3. Andrei Ciortea, Simon Mayer, and Florian Michahelles. 2018. Repurposing Manufacturing Lines on the Fly with Multi-agent Systems for the Web of Things. In AAMAS 2018.Google ScholarGoogle Scholar
  4. Dominique Guinard and Vlad Trifa. 2009. Towards the Web of Things: Web Mashups for Embedded Devices. In MEM 2009.Google ScholarGoogle Scholar
  5. James Hendler. 2001. Agents and the Semantic Web. IEEE Intelligent Systems 16, 2 (2001), 30–37.Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Felix Leif Keppmann, Maria Maleshkova, and Andreas Harth. 2016. Semantic Technologies for Realising Decentralised Applications for the Web of Things. In ICECCS 2016.Google ScholarGoogle Scholar
  7. Tobias Käfer and Andreas Harth. 2018. Rule-based Programming of User Agents for Linked Data. In LDOW 2018.Google ScholarGoogle Scholar
  8. Simon Mayer, Dominic Plangger, Florian Michahelles, and Simon Rothfuss. 2016. UberManufacturing: A Goal-Driven Collaborative Industrial Manufacturing Marketplace. In IoT 2016.Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Drew McDermott, Malik Ghallab, Adele Howe, Craig Knoblock, Ashwin Ram, Manuela Veloso, Daniel Weld, and David Wilkins. 1998. PDDL–The Planning Domain Definition Language. Technical Report CVC TR-98-003.Google ScholarGoogle Scholar
  10. Steffen Stadtmüller, Sebastian Speiser, Andreas Harth, and Rudi Studer. 2013. Data-Fu: a language and an interpreter for interaction with read/write linked data. In WWW 2013.Google ScholarGoogle Scholar
  11. Ruben Verborgh and Jos De Roo. 2015. Drawing Conclusions from Linked Data on the Web: The EYE Reasoner. IEEE Software 32, 3 (2015), 23–27.Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Hypermedea: A Framework for Web (of Things) Agents

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      • Published in

        cover image ACM Conferences
        WWW '22: Companion Proceedings of the Web Conference 2022
        April 2022
        1338 pages
        ISBN:9781450391306
        DOI:10.1145/3487553

        Copyright © 2022 ACM

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        Publication History

        • Published: 16 August 2022

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