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:
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| For examples of query snapping, see [DRAFT] Knowledge intelligence. |
The following languages are supported for this:
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For more information on how Knowledge Intelligence works, see [DRAFT] 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.
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For example, when you search for "'electric vehicle"', Fuse scans existing content items to find the term "term 'electric vehicle" ' as well as the respective terms "electric" and "vehicle"'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:
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