Semantic Query

A semantic query is a question posed in a natural language such as English that is converted into a machine-readable format such as SQL. The goal of semantic query is to make it possible for computers to answer questions posed in natural language.

Semantic Query

Areas of application

  • {‘name’: ‘Natural Language Processing’, ‘description’: ‘Semantic queries can be used to enable computers to understand and process natural language inputs, making it possible for users to interact with machines using everyday language.’}
  • {‘name’: ‘Information Retrieval’, ‘description’: ‘Semantic queries can help improve the accuracy of information retrieval systems by enabling them to understand the context and meaning of search queries, rather than just relying on keywords or phrases.’}
  • {‘name’: ‘Machine Learning’, ‘description’: ‘Semantic queries can be used to train machine learning models to understand the meaning of data and make predictions based on that understanding.’}

Example

Example: Asking a computer to find all the movies released in 2019 with a runtime longer than 2 hours using a semantic query would result in a SQL query like ‘SELECT * FROM movies WHERE release_year = 2019 AND runtime > 2’

Resources