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The Semantic Knowledge Hub

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Many enterprises deal with multisource scenarios that include managing data and content in their respective hubs or systems. This means that unstructured data (text, images, etc.) does not have the chance to interact with the structured variety (spreadsheets, etc.) โ€“ so gaps can be felt in the way knowledge is accessed and shared. Enter the Semantic Knowledge Hub: where enterprises can benefit from connected workspaces and better user experiences.

Where a library simply stores information, a hub provides a powerful environment that contextualizes information in one place โ€“ making it easier for users to find, maintain, and use assets in the future.

Simply put, semantic knowledge hubs are the natural progression from a standard content management system (CMS). They go beyond a simple curation and maintenance of business assets, and add a much needed layer of intelligent search and recommendations. They combine multi-source systems (without necessarily removing and replacing them), leveraging the strengths of each of them in an ecosystem powered by Semantic AI.

With this 1-pager, get an overview of:

  • Proposed business value
  • Sample use cases
  • Example architecture and how its rich ecosystem compares to a conventional CMS
  • The semantic advantages companies can harness with the active metadata, search, and recommender capabilities in a knowledge hub

 

 

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