Uploading a Model to Anzo

This topic provides instructions for uploading an existing model to Anzo. Follow these instructions if you have a model that was created outside of Anzo or was downloaded from Anzo as described in Downloading a Model. Anzo accepts model files in OWL (.owl), RDF (.rdf), TriG (.trig), TTL (.ttl), and XML (.xml) format.

If you want to import a version of a model that was exported from Anzo as described in Exporting Versions, follow the instructions in Importing Exported Versions to import the model.

Important: Before uploading a data model to Anzo, make sure that the model meets the requirements defined in Model Requirements and Recommendations.

Note: One of the following outcomes will occur if two users upload the same data model:

  • If the second user does not have permission to modify the model that the first user uploaded, the second user receives an access denied error and cannot upload the model.
  • If the second user does have permission to modify the model that the first user uploaded, Anzo overwrites the existing model with the version from user two.
  1. In the Anzo console, click Model. Anzo displays the Manage Data Model Working Set screen. For example:

  2. On the bottom left corner of the screen, click Upload Data Models. The Upload Data Models dialog box opens.

  3. To upload a model, drag and drop the file onto the dialog box or click the text to browse and select the file on your computer. Anzo uploads the model that you selected and displays the file name and size. For example:

    If you want to upload additional models, you can repeat the process and drag and drop or select files on the Upload Data Models dialog box.

  4. Click Done when you finish uploading models. The new models become available on the Manage Data Model Working Set screen.

    Note: If the new model fails to become available in the working set, the most common reason is that the model is missing the rdfs:label. For more information, see Define the model name with rdfs:label in Model Requirements and Recommendations.

For information about editing models using the Data Model editor, see Editing a Model.

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