What Is This?

This is an HTML+RDFa representation of metadata describing this Web-addressable resource.

Why Is This Important?

The property (attributes and values pairs) links on this page unveil a different kind of link, one which enables the following on HTTP networks such as the Web:

  1. Unambiguous identity for entities (aka. strong identifiers)
  2. Implicit binding of an entity and its metadata via strong identifiers
  3. Multiple metadata representations that enable a variety of presentations
  4. High precision Search and Find queries that simply use the metadata documents (by referencing entity URIs) as the query's Data Source Name

How Do I Discover Alternative Metadata Representations?

This document exposes metadata in the following formats: (X)HTML+RDFa, Turtle, N3, RDF/JSON, or RDF/XML. In the most basic form, you can simply view the (X)HTML source markup of this page, and go directly to the <head/> section which contains a <link/> tag with relationship and type properties for each format.

In addition, you can also explicitly request a desired metadata representation for a given resource via HTTP GET requests that use the entity's strong identifier as the call target.

How Can I Expose My Web Resources In This Manner?

Simply include the following in the <head/> section of your (static or dynamically generated) (X)HTML page:

<link rel="alternate" title="My Data in RDF Linked Data form"
type="application/rdf+xml"
href="http://linkeddata.uriburner.com/about/id/<this-page-URL>/>"

How Is This Related To The Linked Data Meme?

As stated above, the links in this page expose strong identifiers for its primary topic, secondary topics, attributes, and some values. These links, via implicit association, act as conduits to their metadata-bearing documents, in a variety formats.

[OpenLink Software]

About: nodeID://b19049487

An Entity of Type : Content Class, from Data Source : https://www.w3.org/community/feed, within Data Space : dev.restore.ovi.cnr.it:8890

  • References
  • Referenced By
body relation
  • The AI Agent Protocol Community Group has been proposed by gaowei chang:


    The mission of the AI Agent Protocol Community Group is to develop open, interoperable protocols that enable AI agents to discover, identify, and collaborate efficiently across the Web. As AI agents increasingly participate in Web-based activities, there is a growing need for standardized mechanisms to support secure, reliable, and scalable interactions. This group aims to establish the technical foundations for the emerging Agentic Web. The AI Agent Protocol Community Group would like to bring together industry and academia stakeholders interested in standardizing agent communication.

    Scope of Work

    This Community Group will explore and define:

    • Inter-agent communication protocols: Mechanisms that allow agents to discover one another, exchange intent and capability information, negotiate roles, and dynamically establish or dissolve collaborations in an open Web environment.
    • Agent identity models: An identity framework for AI agents, based on open standards, to support secure, interoperable authentication between agents across domains.
    • Standardized metadata formats: Structured descriptions of agent capabilities, interfaces, goals, and states, based on Web-native formats to enable automated reasoning, composition, and orchestration of agent behavior.
    • Security and privacy mechanisms: Cross-origin communication security models for agents, including authentication, authorization, verifiable credential-based trust, and end-to-end encryption, to safeguard the integrity and confidentiality of agent interactions.
    • Protocol interoperability: Compatibility layers and best practices that allow agent-based systems to leverage existing Web protocols and standards for integration and collaboration.

    This group will publish Specifications.

    This group welcomes participation from AI platform developers, protocol designers, browser vendors, Web application developers, academic researchers, and other stakeholders interested in advancing the open standards that will enable a trusted, collaborative Web of agents.

    Who Should Join

    We welcome participation from individuals and organizations in the following areas:

    • Developers of AI platforms and agent-based applications
    • Enterprise software and infrastructure providers
    • Academic and research institutions
    • Standards bodies and open source organizations
    • Policymakers and regulatory agencies

    Join the AI Agent Protocol Web Community Group to co-develop open technologies that enhance the interoperability and security of AI agents—and help build a trustworthy, collaborative, and global agent network for the Web.


    You are invited to support the creation of this group. Once the group has a total of 5 supporters, it will be launched and people can join to begin work. In order to support the group, you will need a W3C account.

    Once launched, the group will no longer be listed as “proposed”; it will be in the list of current groups.

    If you believe that there is an issue with this group that requires the attention of the W3C staff, please send us email on site-comments@w3.org

    Thank you,
    W3C Community Development Team

source
  • https://www.w3.org/community/feed
type
  • Content Class
described by
  • https://www.w3.org/community/feed
content
  • Proposed Group: AI Agent Protocol Community Group
Alternative Linked Data Views: Facets | iSPARQL | ODE     Raw Linked Data formats: CXML | CSV | RDF ( N-Triples N3/Turtle JSON XML ) | OData ( Atom JSON ) | Microdata ( JSON HTML) | JSON-LD
This material is Open Knowledge   W3C Semantic Web Technology     This material is Open Knowledge Creative Commons License Valid XHTML + RDFa
This work is licensed under a Creative Commons Attribution-Share Alike 3.0 Unported License.
OpenLink Virtuoso version 07.20.3231, on Linux (x86_64-generic_glibc25-linux-gnu), Single Edition