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Status Not under consideration
Workspace Knowledge Catalog
Created by Guest
Created on Jul 4, 2018

Provide structured search support to NLU enrichments for textual data assets

Today, when a PDF or other text documents are profiled, NLU analyzes text with Keywords, Concepts and Categories. Such "enrichments" generated by NLU should be leveraged to find and select data assets.

In fact it looks like having an embedded WDS engine inside of WKC, so some synergies may exist.

It should be possible to select those assets where there is a concept like "Cookie"

enriched_text.concepts.text::"Cookie"

Or even select those data assets (documents) where concept "Cookie" appears more than 10 times or even the top 100 assets where concept "Cookie" appears more times.

This way, Catalog would help the data scientist select those textual data assets more suitable to include in a DL project.

  • Admin
    Michal Szylar
    Reply
    |
    Mar 21, 2023

    Hi,

    currently we do not plan to provide such enhancements.

  • Guest
    Reply
    |
    Sep 23, 2020

    Hi,

    In a future relese, we will be using Watson Knowledge Catalog Instascan capabilities when profiling unstructured data. This will attached data classes to unstructured data like we do with structured data assets. When we do that, we will be able to search on those data classes. This should be even better functionality than using Watson Discovery and help in classifying unstructured data.

    Thanks,

    Emma

  • Guest
    Reply
    |
    Dec 14, 2018

    Does this idea relate to: https://bigblue.aha.io/features/CATSERVICE-217

    Plus integration with watson discovery?