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semantic gap

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semantic gap

[si′man·tik ′gap]
(computer science)
The difference between a data or language structure and the objects that it models.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.

semantic gap

The difference between the complex operations performed by high-level language constructs and the simple ones provided by computer instruction sets. It was in an attempt to try to close this gap that computer architects designed increasingly complex instruction set computers.
This article is provided by FOLDOC - Free Online Dictionary of Computing (foldoc.org)

semantic gap

The difference between a data or language structure and the real world. For example, in order processing, a company can be both customer and supplier. Since there is no way to model this in a hierarchical database, the semantic gap is said to be large. A network-structured database could handle this condition, resulting in a smaller semantic gap. See semantics.
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References in periodicals archive
The rest of this paper is organized as follows: Section 2 presents related work in VMI-based intrusion detection and semantic gap reparation.
On the other hand, the use of a flexible language for multimedia search and retrieval based on MPEG Query Format is the key point trying to narrow the semantic gap, as it gives all the required functionalities.
Many steps have been implemented toward reducing the semantic gap. Different methods were presented in our research based on different algorithms which depend on visual phrases (probability distribution, decoding, and generation of descriptive visual phrase), where the visual phrase is a collection of visual words that makes the image nearest to its semantic meaning.
In addition, the paper includes examples from the Isfahan Islamic Architecture DataBase (IIADB) project, the pilot user of the topic maps layer bridging the semantic gap of multimedia postings in a historical and architectural context.
The extracted prominent regions could be used as a good pattern to bridge semantic gap between low-level features and semantic understanding.
Generalization reduces the semantic gap between the data modeler and the database design language.
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