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H-feed

h-feed is a draft Microformat for marking up a stream of posts using HTML class attributes. It is designed to support web pages that contain blog entries or similar chronological content (h-entry). These can then be parsed as feeds directly or via a proxy which converts h-feed to Atom or RSS, existing web syndication standards. It also supersedes the…

Standards & Overview

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Research this topic

Explore the main themes, entities and connections around H-feed. 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.

Overview

4 related topics

Topics to explore

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

Overview

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

H-feed

Nodes6
Edges5
Triples3
Avg. degree1.67
Density0.333333
Components1

How this topic connects Entity context

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

H-feed

Top relations

related to External links · 2
H-feed → Microformats Wiki, Microformats Wikih-entry
is a · 1
H-feed → draft Microformat for marking up a stream of posts using HTML class attributes

Important terminology Word statistics

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

Important terminology

web h-entry microformat hatom also posts class pages blog entries chronological content syndication used draft marking stream using html attributes

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
H-feedis adraft Microformat for marking up a stream of posts using HTML class attributes0.90text
H-feedrelated to External linksMicroformats Wikih-entry0.60section
H-feedrelated to External linksMicroformats Wiki0.60section

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