General property and ontology files
  • 11 Jun 2024
  • 1 Minute to read
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General property and ontology files

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Article summary

Zilliant CPQ uses specific files to store and maintain application system properties and ontology-based customization of the application.

Access properties and ontology files

  1. From the application left navigation area, select Administration.
  2. From the top navigation bar, select Content Management .
  3. Select conf.
Important

The conf folder is required by the system. Do not delete it.

  1. Download the properties file you want to configure.
  2. Use a text editor to make and save changes.
  3. Upload the file.

The conf folder contains the following types of files:

  • .properties—General property files for Zilliant CPQ. For example, application.properties.
  • .n3—Mapping files to find the .owl files.
  • .owl—Ontology files located in /conf/ontology folder.
Note

For more information, consult with your Zilliant representative or your implementation team.

Files in the conf folder

  • application.properties—The main properties file. It contains the properties for starting up a Zilliant CPQ tenant.
  • email-content.properties—Provides keys to customize the content of notification emails such as approval and routing emails.
  • location-mapping.n3 and location-mapping-to-empty.n3—Use to find the exact path to the ontology .owl files.
    • location-mapping.n3—A key mapper to map file’s unique identification (URI) to its location.
    • location-mapping-to-empty.n3—Use when starting a tenant application.
  • schema.owl—Entities definition and their relationship.
    • Contains Classes (Business Types, BT), Data Attributes (Business Data Attribute, BDA) and Relation Attributes (Business Relation Attributes, BRA) definitions.
    • Contains meta attributes (Business Meta Attributes, BMA) that are used together with BDA and BRA.
      Additional ontology concepts can be defined in application-schema-ext.owl to further customize the product based on customer needs. (Examples: legacy BDAs, SPARQLs, custom data points.)

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