All digital assets, metadata and content of Microsoft Office and PDF documents are extracted and made searchable. Search allows sophisticated filtering on assets and fully respects the proper permissions. Metadata is covered in detail in metadata in Digital Asset Management.
AEM Assets supports multiple ways of organizing content. You can organize them in a hierarchical manner using folders or you can organize them in an unordered, ad-hoc manner, using for example tags. Users can edit tags in the DAM Asset Editor where sub-assets, renditions, and metadata are displayed.
The most basic way to organize assets is to save these in folders. It is analogous to organizing files in folders in our local filesystem. How you name files and folders, how you arrange sub-folders, and how you handle the files within these folders can have a significant impact on how those assets are processed. By using consistent and appropriate file and folder naming strategies, along with good metadata practice, you can make the most of the DAM.
In most cases, your DAM is always growing. Therefore, it is important to formalize metadata use, folder structure, and file naming early in the content creation cycle.
Use folders only to impose a consistent storage structure for your digital assets. This consistency helps your process and manage your assets better. For example, assets placed in the following types of folders can help you use appropriate profiles to use for asset processing:
If an asset is already published, then you use AEM to move the asset to another folder, and re-publish from its new location, the original published asset location is still available, along with the newly re-published asset. The original published asset, however, is lost to AEM and cannot be unpublished. Therefore, as a best practice, first unpublish an asset and then move it to a different folder.
Using tags, as a metadata, you can easily search assets, create collections using the search results, boost search ranking for some assets, and leverage Adobe Sensei’s AI algorithms for asset discovery.
Adobe Experience Manager Assets uses a self-learning algorithm to create highly descriptive tags that allow you to find the right asset in just a few clicks. Smart tagging uses Adobe Sensei, our artificial intelligence and machine learning framework, which can be trained to recognize and apply both standard and business-specific tags to imagery. Smart Tags can also identify content, individual words, or phrases and automatically apply descriptive tags to asset.
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