METAPHACTS ACADEMY

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Visual modeling advanced module

Goal

In this module, you will learn how to organize the editorial process around knowledge assets by using data publishing workflows. You will also establish version control for these artifacts with the help of Git. By implementing data quality assurance based on the constraints modeled in ontologies, along with the specifics of importing and exporting knowledge assets, you will be empowered to set up collaborative knowledge authoring and maintain knowledge artifacts within your organization.

Learning outcome

Throughout this guided tutorial, you will learn:

» How to configure the editorial workflows with different user roles in metaphactory
» How to manage versions of ontologies and organize the knowledge authoring process

» How to ensure the data quality by modeling the constraints in ontologies and then generating and read the data quality reports

» How to populate metaphactory with knowledge assets and how to download them in metaphactory

» How the open standards define the metaphactory's modelling language and what it means for importing and exporting knowledge assets