semantics

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semantics

 [sĕ-man´tiks]
study of the meanings of words and the rules of their use; study of the relation between language and significance.

se·man·tics

(sĕ-man'tiks), A branch of semiotics:
1. The study of the significance and development of the meaning of words.
2. The study concerned with the relations between signs and their referents; the relations between the signs of a system; and human behavioral reaction to signs, including unconscious attitudes, influences of social institutions, and epistemologic and linguistic assumptions.
[G. sēmainō, to show]

semantics

[siman′tiks]
Etymology: Gk, semantikos, significant
the study of language with special concern for the meanings of words or other symbols.

se·man·tics

(sĕ-man'tiks)
1. Study of the significance and development of the meaning of words.
2. The study concerned with the relations between signs and their referents.
[G. sēmainō, to show]

semantics

The study of meaning, of the effectiveness with which thought is translated into language, and of the relationship between words and symbols and meaning.

semantics (siman´tiks),

n the study of language with special concern for the meanings of words and other symbols.
References in periodicals archive ?
There is still a semantic gap between the available data as no method has been developed to explore the relationships among quantitative data.
ABSTRACT: In this paper we illustrate several aspects of art databases, such as: the spread of the multimedia art images; the main characteristics of art images; main art images search models; unique characteristics for art image retrieval; the importance of the sensory and semantic gaps.
Our work focuses non-specialized, web based image retrieval, with extra emphasis on bridging the semantic gap issues.
The prototype EDM Council Repository is already gaining traction in the financial services world, bridging the semantic gaps that exist in the marketplace.
These data services conform to Web services standards (SOAP) and to required XML schemas, hide data source complexity from applications, resolve semantic gaps between existing data and new applications, and are optimized for enterprise performance.
Creating data services (rather than custom coding data manipulations into each application) enables developers to bridge semantic gaps more efficiently and create reusable modules that isolate the impact of changes in data structures.

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