Semantic AI

Semantic AI analyses the meaning behind words to improve search and information findability. It enables machines to interpret the intent behind ambiguous terms. For example, ‘Glasgow bus timetables’ and ‘Departure/arrival times Glasgow buses” both mean the same thing – but a computer may not recognize this and provide the user with two very different sets of results. Another example could be searching for "rock music". Without semantic AI, a computer might interpret "rock" to mean a stone, instead of a music genre.

Semantic AI simulates a human-like understanding of online search terms, giving people more accurate results faster. Because content is intrinsically linked to the implicit, hidden, or intangible meaning behind a user’s search terms, the search results produced are much better aligned with what the user was actually looking for.

Use cases 

  • Autocomplete searches
  • Enable chatbots and voice assistants
  • Instant taxonomy tagging for automatic classification
  • Deliver personalized results and recommendations
Key benefits
  • More efficient and effective findability of information 
  • More relevant search results 
  • Better customer experiences 
  • Greater employee productivity 
  • Improved decision making