Not sure if it's better, but it's another example of a graph that serves the purposes of uncovering relationships between related topics. I seem to recall an online tool called "musicology" (which disappeared from the web) long ago that provided a visualization of the relationship nodes between the musicians, bands, songs and other music facts. I loved that as an example to help others understand those concepts.
Metadata is essential to content creation and management.
One of my REBOOT alumni sells clothes on Shopify. She creates content on Instagram. She learned to use Claude Cowork to write posts and generate on-brand images using the Shopify metadata + brand positioning + target audience (ICP).
Besides using Claude Cowork to draft on-brand and on-audience Instagram post, she lets AI manage the taxonomy, f.i. Claude Cowork assigns metadata to her product images and dynamically selects an image based on the metadata that closely matches the IG post metadata.
The whole IG post generation with image, from ideation to ready-to-publish, including 8 QA steps (SEO/AE, on-brand, etc) takes five minutes. It would not be possible without the metadata that leave either in markdown files on directly added to the asset header (YAML).
Perhaps a better lens into metadata and music can be found here: https://musicbrainz.org/
Not sure if it's better, but it's another example of a graph that serves the purposes of uncovering relationships between related topics. I seem to recall an online tool called "musicology" (which disappeared from the web) long ago that provided a visualization of the relationship nodes between the musicians, bands, songs and other music facts. I loved that as an example to help others understand those concepts.
Thanks for sharing, Jessica Talisman!
Metadata is essential to content creation and management.
One of my REBOOT alumni sells clothes on Shopify. She creates content on Instagram. She learned to use Claude Cowork to write posts and generate on-brand images using the Shopify metadata + brand positioning + target audience (ICP).
Besides using Claude Cowork to draft on-brand and on-audience Instagram post, she lets AI manage the taxonomy, f.i. Claude Cowork assigns metadata to her product images and dynamically selects an image based on the metadata that closely matches the IG post metadata.
The whole IG post generation with image, from ideation to ready-to-publish, including 8 QA steps (SEO/AE, on-brand, etc) takes five minutes. It would not be possible without the metadata that leave either in markdown files on directly added to the asset header (YAML).