Difference between revisions of "Semantic data model"

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(Created page with "In software engineering, the term '''semantic data model''' has various meanings related to conceptual schemas: # A conceptual schema in which seman...")
 
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* [[Entity-relationship model]]
 
* [[Entity-relationship model]]
 
* [[Information model]]
 
* [[Information model]]
* [[QuakeSim]]
 
 
* [[Relational Model/Tasmania]]
 
* [[Relational Model/Tasmania]]
 
* [[Three schema approach]]
 
* [[Three schema approach]]

Latest revision as of 11:16, 6 December 2016

In software engineering, the term semantic data model has various meanings related to conceptual schemas:

  1. A conceptual schema in which semantic information is included. This means that the model describes the meaning of its instances. Such a semantic data model is an abstraction that defines how the stored symbols (the instance data) relate to the real world.
  1. A conceptual schema that includes the capability to express information that enables parties to the information exchange to interpret meaning (semantics) from the instances, without the need to know the meta-model. Such semantic models are fact oriented (as opposed to object oriented). Facts are typically expressed by binary relations between data elements, whereas higher order relations are expressed as collections of binary relations. Typically binary relations have the form of triples: Object-RelationType-Object. For example: the Eiffel Tower <is located in> Paris.

Description

Typically the instance data of semantic data models explicitly include the kinds of relationships between the various data elements, such as <is located in>. To interpret the meaning of the facts from the instances it is required that the meaning of the kinds of relations (relation types) be known. Therefore, semantic data models typically standardise such relation types. This means that the second kind of semantic data models enable that the instances express facts that include their own meaning. The second kind of semantic data models are usually meant to create semantic databases.

The ability to include meaning in semantic databases facilitates building distributed databases that enable applications to interpret the meaning from the content. This implies that semantic databases can be integrated when they use the same (standard) relation types. This also implies that in general they have a wider applicability than relational or object oriented databases.

See also

External links