Semantics & Content Enrichment (Advanced)

This module deals with the semantic post-processing of metadata. Different semantic methods and their optimal range of application are taught. Existing metadata can be restructured, enriched and automatically classified using various methods. Thus, additional knowledge can be extracted and used from the data.

• Linking a CSV file with data from the index
• Metadata and content translation
• Mapping hierarchies
• Automatic document language recognition with artificial intelligence
• Understanding for logical aggregations of content
• Metadata content translation
• Use of the graph database with references

• CSV, Mustache Templates, Regular Expressions, XML, Office / Spreadsheats, JSON
• Mindbreeze Tutorial Videos, Category "Introduction" & "Connectors"

This course covers the following Insight Services:
Entity Recognition Service, Knowledge Extraction Service, Semantic Relations Service and Classification Service.

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Once you register for this online course, a training environment will be created for you. It is available for and will be deleted automatically after that.