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Structured Data

Structured data is data that is available in a defined format and can therefore be easily processed by computers. It is organised and stored in a way that makes it easy to retrieve, analyse and manage.
 
Characteristics of structured data:
  • Defined format: structured data follows a predefined schema, such as tables with rows and columns or hierarchical structures.
  • Easy to process: The clear format means that computers can easily interpret and process the data.
  • Interrogability: Structured data can be queried efficiently to find specific information.

Examples: Databases, spreadsheets, XML files and JSON files are examples of structured data.

Advantages of using structured data:

  • Efficient data processing: structured data enables large amounts of data to be processed quickly and efficiently.
  • Simple data analysis: The defined format makes it easy to analyse and visualise data.
  • Better data quality: The clear structure helps to avoid errors and improve data quality.
  • Integration: Structured data can be easily integrated into different systems.

Structured data forms the basis for data-to-text generation. The quality of the structured data has a direct influence on the quality of the generated texts.