What Is Semantic Search And How Is It Different?
Semantic speaks about deciphering the meaning and essence of a particular thing. Now, when it is applied to search “semantics”, it essentially means the study of their words and their logic. So, semantic search strives to improve search accuracy by understanding what the intent of a searcher is through contextual meaning.
Why is semantic search important?
The principles of semantic search and why it is needed is quite easy to understand.
For instance, there are times when we do not quite know how to frame and word our search. Semantic search typically uses a wide variety of information to throw up search results.
Now, the very purpose of semantic search is to not be restricted to the ‘static’ dictionary meaning of a word or a phrase but to understand what the intent of the user is with respect to a specific context. They look at previous searches and then establishes a link and then a search engine infers the answer and search results pop up.
Hence, semantic search tries to help a search engine come up with the most accurate result as it understands:
- What is the intent of the searcher?
- What is the context of any query?
- Establishing a relationship between words
Not only this, Seo semantic search also allows Google (or any search engine) to differentiate between different entities (people, places, and things) and then try to make sense of the search by factoring in:
- Search history of the user.
- Location of the user User.
- Global search history.
- Spelling variations.
Hence, it can be safe to say that semantic search is much better than regular search as only when the aforementioned semantic factors of a page are taken into account can a search engine return the most accurate result.