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Multi-agent Interactions on the Web Through Linked Data Notifications

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Multi-Agent Systems and Agreement Technologies (EUMAS 2017, AT 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10767))

Abstract

The evolution of the Web towards a semantically-enriched information space has risen several challenges and opportunities concerning the interaction, knowledge representation, and design of multi-agent systems. Many of these have been explored in the past, such as the usage of ontologies for defining agent knowledge bases, the definition of semantic web services, or the usage of reasoning for intelligent agent behavior. Although these efforts have resulted in important research achievements, there is still a need to provide a simple –yet comprehensive– way of interconnecting decentralized intelligent agents through a generic Web-based infrastructure. In this paper we analyze how multi-agent systems can use extensions of the Linked Data Notifications W3C recommendation as the backbone for a Semantic Web-enabled infrastructure for agent communication.

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Notes

  1. 1.

    https://www.w3.org/TR/ldn/.

  2. 2.

    http://www.fipa.org/specs/fipa00026/SC00026H.html.

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Author information

Authors and Affiliations

  1. University of Applied Sciences and Arts Western Switzerland, HES-SO Valais-Wallis, Sierre, Switzerland

    Jean-Paul Calbimonte, Davide Calvaresi & Michael Schumacher

  2. Scuola Superiore Sant’Anna, Pisa, Italy

    Davide Calvaresi

Authors
  1. Jean-Paul Calbimonte
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  2. Davide Calvaresi
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  3. Michael Schumacher
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Corresponding author

Correspondence to Jean-Paul Calbimonte .

Editor information

Editors and Affiliations

  1. University of Évry Val d'Essonne, Paris Saclay, France

    Francesco Belardinelli

  2. Polytechnic University of Valencia, Valencia, Spain

    Estefanía Argente

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Calbimonte, JP., Calvaresi, D., Schumacher, M. (2018). Multi-agent Interactions on the Web Through Linked Data Notifications. In: Belardinelli, F., Argente, E. (eds) Multi-Agent Systems and Agreement Technologies. EUMAS AT 2017 2017. Lecture Notes in Computer Science(), vol 10767. Springer, Cham. https://doi.org/10.1007/978-3-030-01713-2_4

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  • DOI: https://doi.org/10.1007/978-3-030-01713-2_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01712-5

  • Online ISBN: 978-3-030-01713-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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