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Watson Explorer oneWEX add-on

If you install the IBM Watson® Explorer oneWEX add-on, you and your team can collect data from your enterprise; parse, analyze, and extract meaning from the information; and create a text index that users can query.

What is Watson Explorer for Watson Studio Local

IBM Watson Explorer for Watson Studio Local allows you to analyze text data in Watson Studio Local. Its natural language processing capability can extract key information from text data as if it were structured data. Therefore, you can use text data along with the other structured data for better business decision.

With Watson Explorer for Watson Studio Local, you can do the following tasks.

  • Ingest data to a collection from Watson Studio Local data sets.
  • Enable natural language processing (NLP) capabilities to annotate part-of-speech, named entities, and sentiment expressions.
  • Customize a dictionary to extract key information from text based on your interest.
  • Understand data in a collection using a visual content mining tool.
  • Use text analysis capabilities from Watson Studio Local tools such as Notebook and SPSS® Modeler.
Want to see Watson Explorer integration in action? Watch this short video:
Figure 1. Video that shows how Watson Explorer integrates with Watson Studio Local.

Requirements

Development environment
In this phase, you create a collection, understand data using Content Miner, and edit NLP resources. In addition to the Watson Studio Local minimum requirements, add the following CPU and memory:
  • Add 2 CPU and 4 GB of memory for each Watson Studio Local project.
  • Add 0.5 CPU and 2 GB of memory for each Watson™ Explorer collection.
Deployment environment
In this phase, you use a machine learning model that includes a Watson Explorer for Watson Studio Local model. For example, deploying a Notebook using Watson Explorer API to the Watson Machine Learning server. In addition to the Watson Studio Local minimum requirements, add the following CPU and memory:
  • Add 2 CPU and 4 GB of memory for each model using Watson Explorer capability.
Supported platforms
  • Red Hat Enterprise Linux (RHEL) 6, Operating Minimum: 6.5, Hardware: x86-64, Bitness: 64-Exploit
  • Red Hat Enterprise Linux (RHEL) 7, Operating Minimum: Base, Hardware: x86-64, Bitness: 64-Exploit

For the current list of supported platforms, see Software Product Compatibility Reports.

Install the Watson Explorer oneWEX add-on

Before installing the add-on, ensure that time syncing is working and set up on each node, for example, use ntpq -p for NAP and use chronic tracking for chrony.

To install the Watson Explorer oneWEX add-on into Watson Studio Local:

  1. Sign in as root to the first master node of the Watson Studio Local cluster as a user who is a member of the docker group for all nodes of the cluster.
  2. On the first master node, create the /root/wex-install directory and download the WEX installation package <partNumber>.tar.gz
  3. Extract the contents of the WEX installation package: tar zxvf <partNumber>.tar.gz.

  4. In the /root/wex-install directory, run install.sh.
    Attention: Ensure you do not run the install.sh on the environment which already has Watson Explorer oneWEX add-on installed, since the script cleans up the persistent volume for the Watson Explorer oneWEX add-on.
  5. After the installation completes, run the following kubectl commands on the first master node:
    kubectl get pods --all-namespaces | grep dsx-core | head -1 | awk '{system ("kubectl -n " $1 " exec -it " $2 " -- chown -R 999 /user-home/_global_/python-3.5" )}'
    kubectl get pods --all-namespaces | grep dsx-core | head -1 | awk '{system ("kubectl -n " $1 " exec -it " $2 " -- chown -R 999 /user-home/_global_/python-2.7" )}'
  6. Sign into Watson Studio Local as an administrator. In the Admin Console, click the menu icon ( Menu icon) and click Pods. A list of pods displays. Redeploy the pods with the following prefixes:
    • spark-master
    • spark-worker
    • spark-master221
    • spark-worker221

Licensing

Watson Explorer for Watson Studio Local
  • Watson Studio Local users count toward this license.
  • Consult the Watson Studio Local Admin Console to track the number of users registered to Watson Studio Local.
  • See Licensing in Watson Studio Local.
Watson Explorer for Model Management and Deployment
  • For deploying assets in a project release and launching it in a production environment. The number of Virtual Servers configured as deployment nodes count toward this license.
  • Consult Watson Machine Learning to track an asset to a deployed environment and refer to the configuration of that environment for a count of Virtual Processor Cores allocated.
  • See Licensing in Watson Studio Local

Differences with Watson Explorer Deep Analytics Edition

The following capabilities in Watson Explorer Deep Analytics Edition V12 are not available in WEX for Watson Studio Local:

  • Admin user interface
  • Datasource crawlers
  • Converters
  • Machine learning capabilities such as Document Classification and Ranker
  • Document export
  • REST API
  • Custom Annotators including UIMA complaint annotator and Content Analytics Studio annotator
  • Foundational Component, Application Builder, Analytical Component, and Content Analytics Studio

Some Watson Explorer tasks are performed differently in WEX for Watson Studio Local. For more information, see Watson Explorer oneWEX tasks. Keep these differences in mind when using IBM Watson Explorer oneWEX - Mining content.

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