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Content organisation

From a business perspective discover.swiss considers different tools and mapping methods to organize the content in the infocenter:

  • Region (AdmistrativeAreas)

  • Type and additional Type

  • Categories (tree)

  • Tags

  • Project

Content organisation

Regions (Areas)

  • Form a geolocation boundary, all data with geolocation within this boundary is part of it
  • Do not necessarily form a tree and can be overlapping

Categories

  • Form a tree (which should not be too big/deep)
  • Can be used for traditional navigation

Tags

  • Additional properties of the entity
  • Not organized in a hierarchy
  • Profile tags and campaign tags
  • Used in filtering and after search navigation (Facets)

Geolocation

  • Given longitude and latitude of the content
  • Address and postal code
  • On event; where it takes place
  • On Tours; where it starts (plus the line of the tour)
  • On AdministrativeAreas; the center (plus the boundary)
  • allows geo search (nearby, within, …)

Type & additional Type

Tour, FoodEstablishement, Area / city, Area / country, etc.

  • Given by the entity in the real world itself
  • Defines the available properties of the entity

Project

  • Used to assign content to a partner

  • Main filter on all content APIs (not on categories, tags, and administrative areas because these are the same for all partners)

  • A future feature: to control access to certain data by partner (subscription)

Principles

There are many ways to organize "things". However, no clear definition of how it should be. discover.swiss follows principles, to maintain the quality and to make it easier to handle the content. Especially, categories and tags are “overlapping”.

  • Content is described with its properties about what and how it is and not how it is used

  • The organization system must be in a way that it allows all different views like:

    • personas

    • landing pages

    • overview pages

    • good search

  • In the connectors during the import, we map information in the source system to our organization

Note

discover.swiss is working with its partners to build high-quality data classifications, your feedback can help us to provide a service with maintained quality and accurate representation of each entity in real life. discover.swiss encourages you to be part of the process, contact us support@discover.swiss

Info

Here you can examine discover.swiss data classifications (Categories tree, types and additional types). Click to Download