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Canonical form

A canonical form is a standardized representation chosen to express equivalent values or entities consistently.

How 2 Manning books explain it

AI-Powered Search

A canonical representation is a normalized form that consistently identifies an entity or concept independently of its alternative textual expressions.

How it is used
Maps matched query wording to known entities or semantic functions for query interpretation.
How deep it goes
Defines entity fields and walks through extraction and typed-query construction; resolves illustrated ambiguity by popularity rather than contextual disambiguation.
Examples
Uses “cto” expansions and a “top kimchi near charlotte” query tree to show normalization and interpretation.
What you can do after
Apply it via a Solr text tagger and Python entity extractor to map query variants into typed entities.

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API Design Patterns

A canonical form is the single standardized representation selected as the definitive form of equivalent values or inputs.

How it is used
Uses standardized representations to fingerprint HTTP requests and make identifiers readable and mistake-tolerant.
How deep it goes
Explains ordering, casing, hashing, and tolerant decoding through concrete implementations, stopping short of signature computation.
Examples
Uses a signed PATCH request and a hyphenated Crockford’s Base32 identifier.
What you can do after
Build it from scratch by assembling deterministic request fingerprints and defining tolerant identifier decoding.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.