Research any topic before you write.

Find related topics.Discover entities.See connections.Build a topical map.

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…

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Standards & Overview

Interactive map loads when it comes into view.
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

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

A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.

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

Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.

H-feed

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

How this topic connects Entity context

Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.

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

Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.

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

Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.
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

Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.

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

    Connections between topic areas Semantic bridges

    Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.

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

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