Defined Tags – Zigtag makes tags semantic Part 2 of 2

There’s another really important aspect of using defined semantic tags – the fact that there is only one definition for a certain idea.  Let me explain this a bit.  Say you find a page on New York City, and you tag it with “New York”. Months later, you go looking for it again – but can’t remember if you tagged it with New York, NY, NYC, or even the Big Apple.  No problem!  With Zigtag, all of these synonyms mean the exact same thing – the idea of New York City.  Zigtag understands that New York and NYC are semantically equivalent. Therefore, you can actually search for that page you tagged “New York”, by any of the synonyms for it.

Above is a screen shot of Zigtag’s “Explore” dialog, where you can retrieve things you’ve tagged.  On the left is the tag you’re searching by, in this case NYC.  On the right are the results.  Notice that the results were actually tagged with “New York”, not NYC, yet Zigtag found them.

This is extremely powerful, and Zigtag is the only bookmarking solution to solve this problem.

It becomes even more powerful when used as a research tool.  On other sites like, if you were looking for restaurants in New York, you would have to search for sites tagged with NY, NYC, New-york, newyork, new_york, etc. and even then you’d probably not find all the things people are tagging about this.  With Zigtag, you’re searching with the idea of “New york”, and everybody understands that idea.

Semantic tagging is also very useful from a personal tagging standpoint.  After all, when you tag, you tag with ideas, not words.  This allows you to tag a page with “Car”, but retrieve it by search for “Automobile”, or tag it with “API”, and search for “application programming interface”. It means you don’t have to remember the exact word you tagged it with – just the idea you think of when you tag it.

So try out Zigtag, and be sure to tag semantically!  If you are already using it, or import your bookmarks from another service, we offer a tag renaming tool so you can convert your normal tags into semantic tags (an article on this is coming soon).