- Semantic translation
Semantic translation is the process of using
semantic information to aid in the translation of data in one representation ordata model to another representation or data model. Semantic translation takes advantage of semantics that associate meaning with individualdata element s in one dictionary to create an equivalent meaning in a second system.An example of semantic translation is the conversion of
XML data from one data model to a second data model using formalontologies for each system such as theWeb Ontology Language (owl). This is frequently required byintelligent agents that wish to perform searches on remote computer systems that use different data models to store their data elements. The process of allowing a single user to search multiple systems with a single search request is also known asfederated search .Semantic translation should be differentiated from
data mapping tools that do simple one-to-one translation of data from one system to another without actually associating meaning with each data element.Semantic translation requires that data elements in the source and destination systems have "semantic mappings" to a central registry or registries of data elements. The simplest mapping is of course where there is equivalence.There are three types of
Semantic equivalence :* Class Equivalence - indicating that class or "concepts" are equivalent. For example: "Person" is the same as "Individual"
* Property Equivalence - indicating that two properties are equivalent. For example: "PersonGivenName" is the same as "FirstName"
*Instance Equivalence - indicating that two individual instances of objects are equivalent. For example: "Dan Smith" is the same person as "Daniel Smith"Semantic translation is very difficult if the terms in a particular data model do not have direct one-to-one mappings to data elements in a foreign data model. In that situation an alternative approach must be used to find mappings from the original data to the foreign data elements. This problem can be alleviated by centralized metadata registries that use the ISO-11179 standards such as the
National Information Exchange Model (NIEM).See also
*
Data mapping
*Semantic mapping
*Federated search
*Intelligent agents
*ISO/IEC 11179
*National Information Exchange Model
*Semantic Web
*Vocabulary-based transformation
*Web Ontology Language
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