RDFa vs JSON-LD Head Recommendation

Bounded HTML feature/convention note; no full document audit or live browser compatibility determination.

Description

RDFa vs JSON-LD Head Recommendation: look up a supported built-in reference entry.

RDFa places structured annotations in markup, while JSON-LD expresses linked data as JSON. The intended data consumer determines the appropriate integration.

This tool returns a built-in reference entry for an exact supported selector. The supported entries and their scope are part of the tool; no website or current external table is queried.

When to use this tool

Use this tool when the supplied inputs match the specific operation described above and you need a repeatable result under its stated convention.

  • Check the supported input and output contract against an existing calculation or observation.
  • Use the complete example to confirm units, selector spelling and result interpretation.

How to use the tool and how it works

  1. Enter every field in the input table using the stated units and the exact supported selector spelling where applicable.
  2. Run the tool. Correct input errors before interpreting an output.
  3. Read the result fields below; use accompanying flags and the stated sign, boundary or model convention when interpreting a number.

Accept structured-data and return the built-in comparison and consumer-dependent recommendation.1

Input fieldMeaning and unitsAccepted input
topicTopic.Exact value: "structured-data"
topicBuilt-in entry
"structured-data"RDFa annotates document markup; JSON-LD embeds linked-data JSON, commonly in script[type="application/ld+json"]. Choose based on consumer requirements; no universal head-only mandate.
Output fieldInterpretation
resultObject containing the following named result fields.
result.referenceThe stored entry for the exact selected key; its type may be text, a number or a list.
json
{
  "input": {
    "topic": "structured-data"
  },
  "output": {
    "result": {
      "reference": "RDFa annotates document markup; JSON-LD embeds linked-data JSON, commonly in script[type=\"application/ld+json\"]. Choose based on consumer requirements; no universal head-only mandate."
    }
  }
}

Limitations and assumptions

  • The tool does not parse structured data, validate a vocabulary or guarantee search-engine eligibility.
  • Every declared field is required and unexpected fields are rejected. Numeric inputs must be finite; input errors are distinct from a valid false result or an explicitly qualified output.
  • Extremely large inputs and nonfinite or excessively large outputs are rejected. List positions reported by the tool use zero-based indices unless stated otherwise.

Alternative or Complementary methods

Check the underlying observations, units and conventions independently before using the result in a larger workflow. The tools listed below address nearby tasks; compare their inputs and scope before substituting one for this operation.

References

  1. Tool behavior and example: RDFa vs JSON-LD Head Recommendation — tool.io

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