Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
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
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.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
web h-entry microformat hatom also posts class pages blog entries chronological content syndication used draft marking stream using html attributes
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| H-feed | is a | draft Microformat for marking up a stream of posts using HTML class attributes | 0.90 | text |
| H-feed | related to External links | Microformats Wikih-entry | 0.60 | section |
| H-feed | related to External links | Microformats Wiki | 0.60 | section |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.