Naive semantics

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Naive semantics is an approach used in computer science 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 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.[1]

In natural language understanding, 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[edit]

  • Naive semantics for natural language understanding by Kathleen Dahlgren 1988 ISBN 0-89838-287-4

Notes[edit]

  1. ^ Naive Semantics to Support Automated Database Design, IEEE Transactions on Knowledge and Data Engineering Volume 14 , issue 1 (January 2002) by V. C. Storey, R. C. Goldstein and H. Ullrich [1]