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Content reference identifier

A content reference identifier or CRID is a concept from the standardization work done by the TV-Anytime forum. It is or closely matches the concept of the Uniform Resource Locator, or URL, as used on the World-Wide Web:

Standards, In web casting & Format

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Research this topic

Explore the main themes, entities and connections around Content reference identifier. 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

Format

  • URI Uniform resource identifier
  • DNS Domain name system
  • BBC
  • Unidirectional Unidirectional networks
  • DVR Digital video recorder
  • PVR Personal video recorder

In web casting

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

Content reference identifier

Nodes22
Edges21
Triples1
Avg. degree1.91
Density0.090909
Components1

How this topic connects Entity context

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

Important terminology Word statistics

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

Important terminology

crid content information crids resolution may one receiver broadcast authority given specific different process must service example locator location result

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
format or quality.It may also be the case that the resolution process of a CRID provides another CRID as a resultinstance ofThey may also be distinct copies with different technical parameters0.80text

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
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.