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I-name

I-names are one form of an XRI — an OASIS open standard for digital identifiers designed for sharing resources and data across domains and applications. I-names are human readable XRIs intended to be as easy as possible for people to remember and use. For example, a personal i-name could be =Mary or =Mary.Jones. An organizational i-name could be @Acme or…

Standards, Persistence & Overview

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Research this topic

Explore the main themes, entities and connections around I-name. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Persistence

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

I-name

Nodes26
Edges25
Triples22
Avg. degree1.92
Density0.076923
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

I-name

Top relations

related to External links · 10
I-name → Creating An Open Social, Global Services Specifications, I-Services Specifications, Network, OASIS XRI Technical CommitteeOASIS, Planetwork Journal, The Social Web, XDI, XDI Technical CommitteeXDI, XRDS
related to I-numbers · 8
I-name → And, HTTP-based XRI, I-numbers, IP, So, This, XRDS, XRI
related to I-names · 4
I-name → For, I-names, Though, What

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

i-names xri i-numbers names resource example i-number xdi used identity xris ip xrds addresses services designed data mary jones could

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
I-namerelated to External linksOASIS XRI Technical CommitteeOASIS0.60section
I-namerelated to External linksXDI Technical CommitteeXDI0.60section
I-namerelated to External linksGlobal Services Specifications0.60section
I-namerelated to External linksXDI0.60section
I-namerelated to External linksI-Services Specifications0.60section
I-namerelated to External linksXRDS0.60section
I-namerelated to External linksThe Social Web0.60section
I-namerelated to External linksCreating An Open Social0.60section
I-namerelated to External linksNetwork0.60section
I-namerelated to External linksPlanetwork Journal0.60section
I-namerelated to I-namesI-names0.60section
I-namerelated to I-namesThough0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
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