Vocabulary-based transformation
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In metadata, a vocabulary-based transformation (VBT) is a transformation aided by the use of a semantic equivalence statements within a controlled vocabulary.
Many organizations today require communication between one or more computers. Although many standards exist to exchange data between computers such as HTML or e-Mail, there are still much structured information that needs to be exchanged between computers that is not standardized. The process of mapping one source of data into another is often a slow and labor intensive process.
VBT is a possible way to avoid much of the time and cost of manual data mapping using traditional Extract, transform and load technologies.
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[edit] History
The term vocabulary-based transformation was first defined by Roy Shulte of the Gartner Group around May of 2003 and appeared in annual "hype-cycle" for integration.
[edit] Application
VBT allows computer systems integrators to more automatically "look up" the definitions of data elements in a centralized data dictionary and use that definition and the equivalent mappings to transform that data element into a foreign namespace.
The Web Ontology Language (OWL) language also support three semantic equivalence statements.
[edit] Companies or products
- IONA Technologies
- Contivo
- enLeague Systems
- ItemField
- Unicorn Solutions
- Vitria Technology
- Zonar
[edit] See also
- metadata
- Controlled vocabulary
- Data dictionary
- Semantic spectrum
- Semantic equivalence
- XSLT
- Enterprise Application Integration
[edit] External links
- Gartner Glossary of Terms Gartner definition Vocabulary-based transformation
- Gartner Hype Cycle 2003
