Profiles:

Model tests:

Data tests:

Query tests:

Hyperagent ontology git space

HyperAgents is an ANR/SNF project working towards the deployment of world-wide hybrid communities of people and artificial agents on the Web. For this purpose, we are defining a new class of multi-agent systems (MAS) that are:

1. aligned with the Web architecture to inherit the properties of the Web as a world-wide, open, and long-lived system ;
2. transparent and accountable to support acceptance by people. Our systems use semantic hypermedia to enable uniform interaction among heterogeneous entities in MAS: people, artificial agents, devices, digital serivces, knowledge repositories, etc. We refer to this new class of Web-based MAS as Hypermedia MAS. To undertake this investigation, HyperAgents brings together internationally recognized researchers actively contributing to research on autonomous agents and MAS, the Web architecture and the Web of Things, Semantic Web and Linked Data, and to the standardization of the Web.

I - General information

This git repository contains the methodology and results of the ontology modelling activity of the HyperAgent project. The root of the repository contains three introductory files respectively describing the code of conduct, the process for contributing and the method followed for designing this ontology.

II - Guide and standardistaiion

1) How to use the ontology

The file current ontology describes :

• the different features of the project
• how to use in practice the ontology

2) How to contribute to HyperAgent

If you want to contribute, please follow the contributing file.

III - Versions

List of the latest versions :

• V1 - (15/04/22) - Core ontology

IV - Authors

• Fabien Gandon email : [email protected]

  affiliation : INRIA

• Chistopher Leturc email : [email protected]

  affiliation : INRIA

• Maxime Lefrançois

  email : [email protected]

  affiliation : EMSE

• Andrei Ciortea email : [email protected]

  affiliation : UNISG

• Olivier Boissier email : "[email protected]"

  affiliation : EMSE

• Danai Vachtsevanou email : [email protected]

  affiliation : UNISG

• Luis Gustavo Nardin email : "[email protected]"

  affiliation : EMSE

V - Licence

Acknowledgments

We thank INRIA/UNISG/EMSE for supporting and hosting this project.

Ideas for the README

Section : Getting started ? Subsection: Prerequisites ? Subsection : Installing the project and dependencies ? Subsection : Running the project ?

References

• https://2associes.com/readme-sa-structure-et-son-contenu/