1997’s Disney movie named Flubber about a professor and his brilliant invention showed us what we see in today’s semantic search, something called artificial intelligence. Weebo who’s the professor’s personal device has the ability to access content from a huge pile of information. Essentially, this is what google semantic search does – it uses artificial intelligence to understand the meaning and intent of the searcher’s query unlike determining a keyword like in a dictionary. So then, google tries to decipher the relationship amongst the keywords and how they work together, thereby trying to decode the meaning and spilling out the closest search results.

Search Engine Land defines semantic search as a ‘unique search system that considers factors such as search context, location, and intent. Semantics can also search based on word variations, synonyms, specialized and generalized queries, concept matching, and natural language queries.’

Search is a very important constituent of web. The sea of information that’s available on websites would’ve been impossible to access had there been no search. Search is therefore an important tool to navigate the web. However, search is ambiguous. Not a long time ago we had to depend on boolean search which is a statistical analysis tool that uses the searchers ‘and’, ‘not’, ‘or’ and ‘near’ keywords to develop a probability model of answers to a search query. Boolean search relied on keywords and hoard of other complex factors. Seo, has therefore become such a big game with often a dodgy repute but with the advent of Semantic search, its becoming easier to find better and more accurate search results. For example, if one puts a query like, ‘what is the capital of Australia’, it provides a straightforward answer right on the search page itself.