Posted On 24 Feb 2019
Search Using Structured Data
Structured Data is information that is formatted into a repository that a search engine can read easily. Some examples include XML markup in XML sitemaps and schema vocabulary found in JSON-LD scripts. It is distinct from semi-structured, and unstructured data that have less formatting.
A search engine that answers questions based upon crawling and indexing facts found within structured data on a site works differently than a search engine which looks at the words used in a query, and tries to return documents using unstructured data which contains the same words as the ones in the query; hoping that such a matching of strings might contain an actual answer to the informational need that inspired the query in the first place. Search using Structured Data works a little differently, as seen in this flowchart from a 2017 Google patent:
In Schema, Structured Data, and Scattered Databases such as the World Wide Web, I talked about the D… Read More