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About adding tags to Web articles in Enterprise 10

About adding tags to Web articles in Enterprise 10

When publishing an article to the Web, it is common to include tags (keywords) so that users can use these as a search tool for locating other articles with similar content.

When working on an article in Content Station, tags can be added in 2 ways:

  1. By choosing from tags that are generated automatically based on the content of the story
  2. By adding tags manually, optionally aided by an auto-complete feature or by choosing from a list of tags

See these methods demonstrated in this video:

Note: Because adding a tag is specific to articles that are published to the Web, adding a tag is done in a Publish Form for a Web Publication Channel (such as Drupal 7).

Automatically generated tags

Automatically generated tags are tags that are automatically generated by an external system (called a semantic search provider). It scans the content of the article and suggests one or more tags that are relevant to that content. These tags are then sent back to Enterprise and displayed in Content Station.

Example: For a story about tourism in Amsterdam, suggested tags might be "Amsterdam", "The Netherlands", "holiday", "travel", and so on.

It is up to the writer of the article to decide to add one or more of these tags to the article.

Default Suggestion Provider

Enterprise is shipped with the semantic search feature by OpenCalais but other or additional providers can be installed as well, such as the one by Zemanta. However, only one provider can be used per Publication Channel.

Note: Using a provider other than the default one from OpenCalais also requires a dedicated Server plug-in for that provider. Such Server plug-ins need to be custom made; Enterprise Server is only shipped with a Server plug-in for OpenCalais.

Manually adding tags

Of course, tags can also be added manually. This can be done by entering the following types of tags:

  • Free-form tags. This allows the user to type in any word or combination of words.

Note: Although flexible, this method is open to spelling mistakes. Also, because no automation such as auto-complete is available (see below), each tag needs to be entered in full.

  • Free-form tags with auto-complete. This feature shows common or previously used tags while the user is typing.

Example: When a user types "Ams", the auto-complete feature might suggest "Amsterdam", "Amsterdam city", "Amsterdam airport", and so on. However, if a tag is already added, it does not appear again in the suggestions.

Note: This method reduces the amount of typing that the user has to do and prevents spelling mistakes.

  • Fixed tags based on a pre-configured list. Use this to restrict the user to only use specific tags (intended for up to 200 - 300 entries).

Example: When the user is supposed to add the name of a country, a fixed list of countries can be provided.

Note: This method makes sure that only those tags that are allowed are added and that these tags are always spelt the same way.

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