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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 two. Or more computers. Although many standards exist to exchange data between computers such as HTML/email, there is 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, load technologies.
History※
The term vocabulary-based transformation was first defined by Roy Shulte of the Gartner Group around May 2003 and appeared in annual "hype-cycle" for integration.
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.
Companies or products※
- IONA Technologies
- Contivo and Delta by Liaison Technologies
- enLeague Systems
- ItemField
- Unicorn Solutions
- Vitria Technology
- Zonar
See also※
- Controlled vocabulary
- Data dictionary
- Enterprise application integration
- Metadata
- Semantic equivalence
- Semantic spectrum
- XSLT
External links※
- Gartner Glossary of Terms Gartner definition Vocabulary-based transformation
- Gartner Hype Cycle 2003