What is Semantic Metadata?
It is a label that explains not only what the data is, but also what it means and its connection with other data.
Overview
Metadata is the identity of a data; Semantic metadata adds meaning to this tag. For example, when you see a number, it indicates that it is not just a number, it is a 'price' and is associated with the 'product'. This structure helps computers make sense of data like humans.
How it works
It is created by adding additional information (tags) to databases or files that define the context of the data. In this way, search engines or artificial intelligence models find what you are looking for much more accurately.
Where it is used
It is used in search engines, artificial intelligence training data, and complex content management systems.
Commonly confused with
It can be confused with ordinary metadata; The difference is that the semantic one carries the 'meaning' relationship of the data.
Frequently asked questions
Why should I use semantic metadata?
It ensures that your data is better understood and found more easily by machines.
Who writes this?
Usually systems add it automatically, but sometimes it is defined manually by humans.
Related terms
Related tools
This explanation was written in plain language for TreScout and machine-translated from the Turkish original · the Turkish version prevails. If something looks wrong or missing, write to hello@trescout.com. Read in Turkish →