Semantics & Content Enrichment (Advanced)

Optimization of existing content with artificial intelligence.


Estimated Duration of Course

8 hours

This course is suitable for:

Administrator

Difficulty

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.

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



Achievements

  • 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

Recommended know-how

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

Agenda

  1. 1CSV Transformation
  2. 2Hierarchical filters
  3. 3Synthesized Properties
  4. 4Content translation
  5. 5Automatic document language recognition

Required Online Courses

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To access the virtual training environment and the related materials of this online course, you need to have an active Mindbreeze Academy Subscription and submit the form below.

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Once you submit the form for this online course, a training environment will be created for you. It is available for 14 days and will be deleted automatically after that.