Exporting a UIMA pipeline to a Watson Explorer Content Analytics server
If you have connectivity to a Watson Explorer Content Analytics server, you can automatically deploy the pipeline to the server and associate the pipeline with one or more collections.
Before you begin
Before you can export a UIMA pipeline to Watson Explorer Content Analytics, you must configure a Watson Explorer Content Analytics server connection file.
About this task
After you configure and test your UIMA pipeline in Content Analytics Studio, you can export the pipeline as a PEAR file and deploy it on a Watson Explorer Content Analytics server. By default, the UIMA pipeline is deployed as the custom annotator stage of the document processing pipeline for the specified collections.
Alternatively, you can manually configure the collection associations and facet mappings by using the administration console. For example, you might have separate collections for your development and production environments and want to use the same PEAR file for both collections. After you deploy the PEAR file by using Content Analytics Studio, you manually configure the collection for the development environment and perform some tests. When the testing is complete, you can apply the same configuration settings to the collection for the production environment.
Procedure
To export a UIMA pipeline to a Watson Explorer Content Analytics server:
What to do next
If you want to update the facet mappings without changing the linguistic resources, clear the Upload PEAR file to the Watson Explorer Content Analytics Server check box when you export the pipeline. Ensure that the Define required Fields and Facets on the Watson Explorer Content Analytics collection check box is selected when you want to update facet mappings.
If you want to reinstall the pipeline after you modify the linguistic resources in Content Analytics Studio, you must specify a different name in the Text Analysis Engine Name field when you install the updated pipeline. If you want to use the same name when you install the updated pipeline, you must first manually disassociate the existing version of the text analysis engine from the Watson Explorer Content Analytics collections and delete that version of the text analysis engine from Watson Explorer Content Analytics.