Content Enrichment

Content enrichment is about manipulating crawled content before it is added to the search index. For example, add a sentiment analysis score to indexed social activity.

Some components that support content enrichment are:

• Version control
• Technical metadata (formats, format versions, validation rules, etc)
• Provenance data (processing history)

Questions:

• How standardised is the enrichment information?
• How volatile is enriched information?
• When is the content enhanced (by author, during submission, during editorial, etc)?
• Where does enhanced information live (embedded, externally)?

Key challenges:

• What is the master source/copy of the information?
• Is the information normalised or de-normalised (repeating parent metadata across child elements)?
• How to synchronised across multiple systems?