Discover and read the best of Twitter Threads about #taxonomies
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I'm now joining the #NISOPlus23 session: "Making the business case for investing in metadata" with Josh Brown, Heather Kotula, Michelle Urberg, & Julia McDonell
#Metadata #MetadataMatters #NISOPlus sched.co/1D7pA
#Metadata #MetadataMatters #NISOPlus sched.co/1D7pA
The opportunity costs of poor metadata re-use - Josh Brown from @MoreBrains_Coop
PIDs are keystone metadata! - Powering Reuse, Automation, Aggregation & Analysis
#metadata #NISOPlus23
PIDs are keystone metadata! - Powering Reuse, Automation, Aggregation & Analysis
#metadata #NISOPlus23
NOT reusing #metadata has costs in money, time and knock-on effects - rekeying of metadata is essentially unnecessary duplication of effort across sectors, institutions and individuals! #NISOPlus23
I am endlessly fascinated with content tagging systems. They're ubiquitous in software and have so many nuances, but I can't find anything on how to design and implement anymore more than the barebones basics of a system.
Some thoughts in a thread.
Some thoughts in a thread.
A tag is a metadata label associated with content, primarily used for querying and grouping. The tag name is also the id: two tags with the same name are the same tag.
Tags appear everywhere: #hashtags, wikipedia categories, blog post labels, AWS infra tags...
Tags appear everywhere: #hashtags, wikipedia categories, blog post labels, AWS infra tags...
Now, are `horse` and `horses` the same tag? They're different strings, but I'd be pretty miffed if I queried for `horse` and got only half the data.
So for serious querying we need some kind of relationship between tags
So for serious querying we need some kind of relationship between tags
It deals with specific #machinelearning problem, namely how to classify a given website into specific categories, also called #taxonomy.
the most common #taxonomies are those of IAB and Google Products Taxonomy. But there others, e.g. one from Facebook for products.
