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Content Modelling with Structured Content

Content modelling starts with defining the atomic components of the information you are managing and the relations between different types of information. A component could be a label, an image, GEO location or a list of technical specifications. Components are given semantic meaning and chunked together making up the shape of your information. Information modelling is the core of product information management (PIM).

Content modelling

Structuring content for reuse

Structuring information enables efficient re-use of content chunks across multiple channels. For product information you want to future proof your product information models to server your website, app, point of sales, digital signage, syndication and any potential future channel.

As an example of a product content model let's consider cooking recipes. A recipe could be explained in a single field of rich text. However by structuring, adding semantic meaning and organizing the content in reusable chunks you can open up possibilities of reuse. 

By separating out ingredients as a product shape and recipes as separate structured documents that refer to ingredients you create a flexible content model for many use cases like:

  • Being able to show all recipes with a specific ingredient
  • Add all ingredients to a shopping basket for a given recipe
  • Find recipes that are made in 30 minutes or less
  • Find all recipes with only organic ingredients
  • Generate structured data for recipes
Content modelling for recipe

Content modelling with shapes

Shapes are used in Crystallize for content modelling. You can define the structure of products and structured documents. Use the right multilingual eCommerce strategies to model your content and product data for efficient re-use across channels and languages.

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