Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Microdata is a part of the WHATWG HTML specification that defines how to include metadata within existing web page content. Search engines, web crawlers, and browsers can extract and process Microdata from a web page and use it to provide a richer browsing experience for users. Search engines benefit greatly from direct access to Microdata because it…
Art, Localization & Vocabularies
Explore the main themes, entities and connections around Microdata (HTML). 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.
microdata item html vocabulary web provide search use information vocabularies google org properties using page engines working rdfa example markup
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| hCard | instance of | supports microformats | 0.80 | text |
| RDFa or JSON-LD in the markup | instance of | but also in other annotations | 0.80 | text |
| or in an external RDF file in a serialization such as RDF/XML | instance of | but also in other annotations | 0.80 | text |
| Notation3 | instance of | but also in other annotations | 0.80 | text |
| or Turtle | instance of | but also in other annotations | 0.80 | text |
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.