This section covers the languages that are supported in Fuse search. The languages recognised by Fuse when you enter a search query, and those supported and recognised by Knowledge Intelligence are different.
This section includes:
Searching for content
Fuse only returns content in the language selected in your profile. When you search for content in Fuse, the search engine automatically recognises the language of the entered query and returns content in this language, based on what you have searched for. If applicable, Fuse automatically applies filters to the search results, using query snapping.
The following languages are supported for this:
- British English
- European Portuguese
- Peninsular Spanish
- American English
- French
- German
- Italian
- Danish
- Dutch
- Finnish
- Norwegian
- Russian
- Swedish
- Arabic
- Czech
- Hungarian
- Turkish
- Bulgarian
- Estonian
- Greek
- Indonesian
- Latvian
- Lithuanian
- Thai
- Romanian
- Brazilian Portuguese
Knowledge intelligence
Knowledge intelligence means that when content is added to Fuse, it is scanned using various technologies to better understand the content. When the content is processed, additional metadata is added, which takes the form of extracted entities, such as locations, amounts, skills, dates and so on. Keywords (also known as noun phrases) are also extracted.
For more information on how Knowledge Intelligence works, see Knowledge intelligence.
Extracting entities
If an item of content has been created in one of the languages listed below, Fuse is able to process the text within the content and extract entities. An entity is a piece of information that is present somewhere in the content body that matches predefined categories, such as Person, Date, Company or File type, which Fuse can transform into metadata. This metadata is then used to help users find this content quickly in searches. This metadata also allows Fuse to perform query snapping, in which Fuse automatically applies filters and facets to search results.
Example:
If you search for 'fire safety articles by Edward Francis', Fuse might intuitively apply the following facets to search results:
- Articles: Filters the search results to only show articles.
- Community: Filters to show communities that feature 'Fire Safety' in the name.
- Author: Filters to only show articles authored by 'Edward Francis'.
- Tags: Applies any preexisting tags, for example, Fuse might apply tags for 'Fire', 'Safety', and 'Fire Safety'.
The following languages are supported when extracting entities:
- British English
- European Portuguese
- Peninsular Spanish
- American English
- French
- German
- Italian
- Danish
- Dutch
- Finnish
- Norwegian
- Russian
- Swedish
- Arabic
- Czech
- Hungarian
- Turkish
- Simplified Chinese
- Traditional Chinese
- Japanese
- Korean
- Polish
- Hebrew
- Brazilian Portuguese
Extracting keywords
If an item of content has been created in one of the following languages, Fuse is able to process the text within the content and extract keywords.
For example, when you search for 'electric vehicle', Fuse scans existing content items to find the term 'electric vehicle' as well as the respective terms 'electric' and 'vehicle'. If these terms are present in the body of any items of content, Fuse ranks these in the search results. In this case, any content that contains 'electric vehicle' will be listed first and those containing the respective terms 'electric' and/or 'vehicle' will appear afterwards.
The following languages are supported when extracting keywords:
- British English
- European Portuguese
- Peninsular Spanish
- American English
- French
- German
- Italian
- Danish
- Dutch
- Finnish
- Norwegian
- Russian
- Swedish
- Japanese
- Korean
- Polish