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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.
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For more information on how Knowledge Intelligence works, see [DRAFT] Knowledge intelligence. |
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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. These This metadata also allow allows Fuse to do perform query snapping, in which Fuse automatically applies filters and facets to search results.
For example, a Word document might contain the following sentence: "John Smith's company, ACME Corp, successfully designed and produced their first electric car in 2020". Fuse might scan this sentence within the Word document and add the following metadata to make it easier to find:
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Example: If you search for 'fire safety articles by Edward Francis', Fuse might intuitively apply the following facets to search results:
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The following languages are supported when extracting entities:
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