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Validate existing JSON-LD or Microdata in documents against Schema.org standards to ensure correctness and search engine readability.
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SOC 職業分類に基づく
Normalize named entities and concept variants into canonical forms using controlled vocabularies or standard taxonomies.
Analyze vocabulary overlap and identify named entities unique to domain/document corpora.
Transform lengthy documents into a semantic tree structure. It extracts sections, summaries, and hierarchies optimized for use with Large Language Models (LLMs).
Design formal ontologies using OWL/RDFS. Defines classes, properties, and relationships for complex semantic modeling.
Systematic cataloging of information assets. Creates comprehensive inventories or card sorting materials from content.
Generate JSON-LD structured data for web content. Maps content to Schema.org types to improve search engine understanding and rich result eligibility.
| name | semantic-validate |
| description | Validate existing JSON-LD or Microdata in documents against Schema.org standards to ensure correctness and search engine readability. |
| required_roles | {"scribe":"roles/scribe.editor"} |
| personas | ["seo-specialist","web-developer","qa-engineer"] |
Parse and validate semantic markup (JSON-LD, Microdata, RDFa) within documents to ensure adherence to Schema.org standards and Google Structured Data guidelines.
PATH - The document containing markup to validate.STRICT - (Optional) Boolean, whether to enforce strict schema compliance (default: true).PATH.A report detailing: