Select Page

The Semantic Knowledge Hub


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.) – 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 – 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



Want to get the rest of this content? Access it here

Download our case study booklet:
Business solutions with Semantic AI

Kickstart your way into semantics. Try out our semantic AI starter kit to build a pilot application for your use case.

Want to be up to date with latest webinars and news?

Subscribe to our newsletter to become part of the poolparty community

150 + customers trust us.

Featured Customers

Awards and Recognitions

KMWorld 100 COMPANIES That Matter in Knowledge Management

KMWorld Trend-Setting Product of 2016, 2017 and 2018