@prefix dct: <http://purl.org/dc/terms/> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix schema1: <http://schema.org/> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

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    schema1:description "Who controls where persistent personal context is held."@en ;
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    schema1:description "The post’s digital representation of personal identity and context."@en ;
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    schema1:description "Knowledge graph generation skill used to construct the source RDF collection."@en ;
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    schema1:description "RDF infographic and HTML collection skill used to produce the companion HTML and Explorer."@en ;
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    schema1:description "GPT-6 model operating through Codex for this collection."@en ;
    schema1:name "OpenAI GPT-6"@en ;
    schema1:url <https://openai.com/> ;
    prov:actedOnBehalfOf <https://kingsley.idehen.net/DAV/home/kidehen/Public/YouID/link-in-bio-credentials-5/index.html#netid> .

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    schema1:url <https://www.linkedin.com/in/benedictsmith/> .

<https://www.linkedin.com/in/john-dag-addy/#this> a schema1:Person ;
    schema1:name "John-Dag Addy"@en ;
    schema1:url <https://www.linkedin.com/in/john-dag-addy/> .

<https://www.linkedin.com/in/juancgarcesb/#this> a schema1:Person ;
    schema1:name "Juan C G"@en ;
    schema1:url <https://www.linkedin.com/in/juancgarcesb/> .

<https://www.linkedin.com/in/keyne-viana/#this> a schema1:Person ;
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    schema1:url <https://www.linkedin.com/in/pjmcleod/> .

<https://www.linkedin.com/in/tonyseale/#this> a schema1:Person ;
    schema1:name "Tony Seale"@en ;
    schema1:url <https://www.linkedin.com/in/tonyseale/> .

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    schema1:text "The author argues that persistent context, represented as a knowledge graph, matters more to continuity across model calls than the choice of model."@en .

<https://www.linkedin.com/posts/tonyseale_for-the-last-few-years-i-have-run-both-the-share-7514031733680283648-auyh/#answer-02> a schema1:Answer ;
    schema1:text "It frames the model as the changing execution medium and the graph as the persistent context."@en .

<https://www.linkedin.com/posts/tonyseale_for-the-last-few-years-i-have-run-both-the-share-7514031733680283648-auyh/#answer-03> a schema1:Answer ;
    schema1:text "A knowledge graph is proposed as the durable network of context for a digital self."@en .

<https://www.linkedin.com/posts/tonyseale_for-the-last-few-years-i-have-run-both-the-share-7514031733680283648-auyh/#answer-04> a schema1:Answer ;
    schema1:text "It draws an analogy between reconstructing a sense of self through memory and a model call that reads stored context."@en .

<https://www.linkedin.com/posts/tonyseale_for-the-last-few-years-i-have-run-both-the-share-7514031733680283648-auyh/#answer-05> a schema1:Answer ;
    schema1:text "It reports his view that memories are reinterpreted messages from a past self rather than fixed recordings."@en .

<https://www.linkedin.com/posts/tonyseale_for-the-last-few-years-i-have-run-both-the-share-7514031733680283648-auyh/#answer-06> a schema1:Answer ;
    schema1:text "Who holds and controls the persistent graph that represents it."@en .

<https://www.linkedin.com/posts/tonyseale_for-the-last-few-years-i-have-run-both-the-share-7514031733680283648-auyh/#answer-07> a schema1:Answer ;
    schema1:text "Their memory may reside on corporate infrastructure, giving providers access to personal context."@en .

<https://www.linkedin.com/posts/tonyseale_for-the-last-few-years-i-have-run-both-the-share-7514031733680283648-auyh/#answer-08> a schema1:Answer ;
    schema1:text "A personalized interface does not by itself give the user ownership or custody of its memory."@en .

<https://www.linkedin.com/posts/tonyseale_for-the-last-few-years-i-have-run-both-the-share-7514031733680283648-auyh/#answer-09> a schema1:Answer ;
    schema1:text "Keep persistent memory local, use open standards, and retain ownership."@en .

<https://www.linkedin.com/posts/tonyseale_for-the-last-few-years-i-have-run-both-the-share-7514031733680283648-auyh/#answer-10> a schema1:Answer ;
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<https://www.linkedin.com/posts/tonyseale_for-the-last-few-years-i-have-run-both-the-share-7514031733680283648-auyh/#answer-11> a schema1:Answer ;
    schema1:text "It proposes user-controlled verifiable identities, profile graphs, and fine-grained ABAC for people and agents."@en .

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        <https://github.com/OpenLinkSoftware/ai-agent-skills/tree/main/rdf-infographic-skill#this>,
        <https://openai.com/#gpt-6> .

<https://www.linkedin.com/posts/tonyseale_for-the-last-few-years-i-have-run-both-the-share-7514031733680283648-auyh/#comment-02> a schema1:Comment ;
    schema1:author <https://www.linkedin.com/in/kidehen/#this> ;
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    schema1:position 2 ;
    schema1:text """In the agent-rdf-memory harness we've published to Github —which works with AI environments that support [AGENT.md] configuration and [SKILLS.md] skill bundling—this works like a charm.
Links:
[1] https://github.com/OpenLinkSoftware/ai-agent-skills/tree/main/agent-rdf-memory -- agent rdf-based harness
[2] https://github.com/OpenLinkSoftware/ai-agent-skills/tree/main/youid -- YouID skill for generating identity for yourself or agents operating on your behalf
[3] https://linkeddata.uriburner.com/weblog/?post=food-bookmark-webid-tls-obo-ogilvy-grok-2.html -- post demonstrating the use user-controlled identities for driving agentic commerce"""@en .

<https://www.linkedin.com/posts/tonyseale_for-the-last-few-years-i-have-run-both-the-share-7514031733680283648-auyh/#comment-03> a schema1:Comment ;
    schema1:author <https://www.linkedin.com/in/benedictsmith/#this> ;
    schema1:parentItem <https://www.linkedin.com/posts/tonyseale_for-the-last-few-years-i-have-run-both-the-share-7514031733680283648-auyh/#post> ;
    schema1:position 3 ;
    schema1:text "ontology is becoming"@en .

<https://www.linkedin.com/posts/tonyseale_for-the-last-few-years-i-have-run-both-the-share-7514031733680283648-auyh/#comment-04> a schema1:Comment ;
    schema1:author <https://www.linkedin.com/in/pjmcleod/#this> ;
    schema1:parentItem <https://www.linkedin.com/posts/tonyseale_for-the-last-few-years-i-have-run-both-the-share-7514031733680283648-auyh/#post> ;
    schema1:position 4 ;
    schema1:text """True - But.. why would you expect to own your reflection?
You don't walk through this world and engage with it without leaving a footprint.
And a lot of what is in the Digital You reflects and inherits and is inspired by people.. many of whom you are completely unaware of.
Where does the line stop?
Personal Creativity, just like Culture is participation in a process.  We are largely unaware of all that we owe to each other.
I'm not saying that the topic is not an important one, but I like to think also about that dynamic, that flow "Ubuntu" is the ancient word for it - meaning literally "I am because We are".   
(..and yes, there's an ironic reason that this ancient longstanding concept resurfaces in the years of the internet and AI as the name of a modern Operating System.  In a way it always was an "operating system")"""@en .

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    schema1:position 5 ;
    schema1:text """It has been a fascinating experiment building my digital twin. I find switching models and tools to be remarkably similar with the one caveat - training the models is a curve with each one needing corrections to properly interpret and portray the context. Just a few weeks and they are able to understand and sort through and surface each of their individual agents' responsibilities.
This is the beginning of what science fiction trained us to expect from AI.
What comes next is up to us."""@en ;
    rdfs:comment "The source UI marked this comment as edited."@en .

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    schema1:position 6 ;
    schema1:text """The idea of memory as messages from a past self maps closely to what I have been working through. Knowledge is not simply stored in the graph. It develops through accumulated traversal: relationships activated, weights changed, and deltas carried into each new context.
The same applies to digital selves. The graph provides persistence, while the agent emerges through its evolving engagement with it.
In the enterprise, these become agentic coworkers operating through the same identity, role, relationship, delegation, and permission rails as human workers. Dots, Muse, and Grok’s companions may preview a pattern enterprises will implement within governed environments.
That may limit the hyperscalers’ durable advantage. Enterprises already control the identities, permissions, workflows, infrastructure, and proprietary context that make these agents valuable. As local models improve, the provider may become one component rather than the center of the architecture.
Consumers may remain dependent longer because few can operate the infrastructure required to hold their digital selves locally."""@en .

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    schema1:position 7 ;
    schema1:text "“The model is electricity, the memory is you” is the cleanest framing I’ve seen this week. If Levin’s right that memory isn’t stored where we think, corporate-owned agent memory gets philosophically weird fast — whose continuity is it?"@en .

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    schema1:text "IMHO it is adherence to the ontology what reflects alignment."@en .

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    schema1:position 9 ;
    schema1:text """This is good. I keep telling people it literally doesn’t matter which model you pick.
Context is what gives it superpowers. I hook up a knowledge graph to my agent and suddenly performance is miles better."""@en .

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    schema1:text """Yep!

There’s something fundamental and irreplaceable about being you—and your identity must remain under your control. Identity has always been at the root of what has failed on the Internet and the Web.

Third parties, through applications, apps, and now agents, are building fragmented versions of “you.” These are inherently suboptimal and create privacy risks.

The antidote? Establish cryptographically verifiable identities for yourself and your agents. Then build profile graphs and apply fine-grained, attribute-based access controls (ABAC—not RBAC) to govern access.

The good news? The Semantic Web project has long addressed this challenge through WebID, WebID-TLS, and related technologies. Before the AI agent era, the main hurdle was the GUI: poor implementations of TLS and associated browser interfaces, rooted in the Netscape era. Today, the browser is no longer the gatekeeper to the Web experience; the AI agent is. Agents don’t face the same UI/UX hurdles with WebID and WebID-TLS. This approach to decentralized PKI (DPKI) can be enabled simply by adding WebIDs (hyperlinks that denote you) to the Subject Alternative Name (SAN) fields of X.509 certificates."""@en .

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