What is semantic search?
A semantic search engine takes the context of a search query into account in order to better understand the meaning of the search term. In contrast to purely keyword-based search systems. The meaning or search intent of the search query and the meaning of documents are better interpreted in semantic search. While keyword-based search engines work on the basis of a keyword-text comparison, semantic search engines also take into account the relationships between entities when outputting south africa whatsapp number data search results. More on the topic >>> Semantic search: search engines, definition, function, history
Why is semantic search so desirable for Google?
There is a common thread running through Google’s major search innovations that reveals a clear goal: the complete understanding of all content on the web and the clear interpretation of search queries. In order to understand the true meaning of search queries and the interpretation of content, Google must
- Clearly identify search queries and their search intent
- Identify entities in search queries and content and organize the index around them
To achieve these two goals, Google needs powerful systems and algorithm. That can access and interpret the complete knowledge of the world.
Google’s steps and innovations
Google has consistently pursued this goal since purchasing the semantic training courses personal experiences database Freebase, introducing the Knowledge Graph as a semantic database in 2012 and introducing the latest ranking algorithm basis Hummingbird in 2013. Accessing the world’s knowledge requires an index that is structured as a graph. While Google accessed an index similar to a tabular database before 2012, in which information was stored similar to a directory, a graph index can capture and map bosnia and herzegovina leads relationships between information and entities.
Here is a list of the most important innovations that Google has introduced since 2010 on the way to becoming a semantic search engine:
- 2010: Google buys Freebase , a semantic database created by the company Metaweb with structured, machine-readable data on entities. The first version of the Knowledge Graph
- Clearly identify search queries and their search intent
- was fed by data from Freebase. I manually updated it there.