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Structured Data

There are three types of Structured data: Structured, Semi-structured, and Unstructured data. Structured Data is defined as data that can be organized, moved around, and analyzed within a preset data model – one with predetermined rules and qualities. For example best before dates, gender, and license plates all can be categorized and organized. Semi-structured data do not have any model to which they belong to and therefore cannot be organized, they do however have similar qualities that are shared between each datum. Unstructured data belongs to no model and has no common structure that is shared by each datum. It is usually free flowing and unfiltered. The data must be broken down and analyzed further to make sense of it or find a pattern.

Structured Data on the Web

The most common use of Structured data comes from the internet, where highly Structured data (those typically used for websites) is used to rely information to Google and other search engines. According to Google “When information is highly structured and predictable, search engines (like Google) can more easily organize and display it in creative ways.”

A single standardized schema is used and promoted around the web, in order to ensure developers and search engines alike can get the most out of Structured data. Schema.org organizes this effort and is sponsored by Google, Microsoft, Yahoo and Yandex.