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A Brief Overview On Structured Data

A Brief Overview On Structured Data

A quick 15 minute overview I gave at Forefront Leeds on Structured Data, the technologies it contains and how they work.

Vincent Pickering

November 18, 2013
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  1. MADE UP OF • Microformats • Schema.org • RDFa &

    (RDFa lite) • Microdata • JSON for Linked Data
  2. <section vocab="http://schema.org/" resource="#vincent" typeof="Person"> In RDFa you have to select

    vocab type You can reference this definition like an ID using resource property Definition type
  3. <h1 property="name">Vincent Pickering</h1> <p> <img property="photo" src="http://www.example.com/photo.jpg" alt="Portrait Image"> </p>

    <p> <a property="url" href="http://vincentp.me">Blog</a> </p> defines the persons name the url belongs to the person the persons photo
  4. <h1 itemprop="name">Vincent Pickering</h1> <p> <img itemprop="photo" src="http://www.example.com/photo.jpg" alt="Portrait Image"> </p>

    <p> <a itemprop="url" href="http://vincentp.me">Blog</a> </p> defines the persons name the url belongs to the person the persons photo
  5. JUST REMEMBER itemscope - *Required* when you define a schema

    type schema type - Always in the form of: http://www.schema.org/xxx properties - In the form itemprop=“xxx”
  6. GIVE CONTEXT TO: • Creative works • Events • Health

    & medical types • Organisations • People • Places • Products • Reviews