Techniques & Methods
Semantic Annotation
Semantic annotation involves labeling text or data with machine-readable metadata that captures meaning—entity types, relationships, sentiment, ontology categories, or structured schema markup. It bridges raw text and formal knowledge representations.
For web content, semantic annotation via Schema.org structured data helps search engines and AI models understand page content precisely, improving both traditional SEO and AI citability in answer engines.
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Techniques & Methods
Entity Annotation
Labeling text spans with entity type information to create structured training data.
Techniques & Methods
Named Entity Recognition (NER)
Identifying and classifying named entities in text into predefined categories like people and places.
Techniques & Methods
Knowledge Representation
Methods AI systems use to model, store, and reason over knowledge about the world.
Techniques & Methods
Linguistic Annotation
Adding linguistic metadata—such as POS tags, parse trees, or coreferences—to text for analysis.