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}}</ref> data for a terminology-oriented database can be stored theoretically in any type of database as well as in an XML file. Thus, terminology-oriented databases may support several database systems for storing application data.
Terminology Databases, when these contain Terms and Vocabularies, these become valuable for Ontologies and in turn ontologies can help process associated triples or complex predicates thus going deeper than hierarchies or keys in RDBMS. [[Semantic mapper|Semantic mapping]] can also enhance performance.
== References ==
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