Naive semantics is an approach used in

computer science Computer science is the study of computation, automation, and information. Computer science spans theoretical disciplines (such as algorithms, theory of computation, information theory, and automation) to practical disciplines (includin ...

for representing basic knowledge about a specific domain, and has been used in applications such as the representation of the meaning of natural language sentences in

artificial intelligence Artificial intelligence (AI) is intelligence—perceiving, synthesizing, and inferring information—demonstrated by machine A machine is a physical system using Power (physics), power to apply Force, forces and control Motion, moveme ...

applications. In a general setting the term has been used to refer to the use of a limited store of generally understood knowledge about a specific domain in the world, and has been applied to fields such as the knowledge based design of data schemas. In

natural language understanding Natural-language understanding (NLU) or natural-language interpretation (NLI) is a subtopic of natural-language processing in artificial intelligence that deals with machine reading comprehension. Natural-language understanding is considered an ...

, naive semantics involves the use of a lexical theory which maps each word sense to a simple theory (or set of assertions) about the objects or events of reference. In this sense, naive semantic theory is based upon a particular language, its syntax and its word senses. For instance the word "water" and the assertion water(X) may be associated with the three predicates clear(X), liquid(X) and tasteless(X).

References

{{Compu-AI-stub Natural language processing Semantics