Change - Data Integration

Created on Feb. 18, 2013, 1:39 p.m. by Hevok & updated on March 6, 2013, 1:59 a.m. by Hevok

Assuming one need a Database (e.g. with bibliography data) into a RDF knowledge base (e.g. tables on Articles, Authors and Journals). Such highly structured data as it is in Relation Databases (i.e. tables) can rather easily by transformed into a RDF-Graph. There are general rules how an RDF-Graph can be created from the bases of a simple Relational Database. ¶
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RDF is rather useful especially for the purpose of Data Integration. ¶
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One just expeorts the Database export into sa Set of Relations. ¶
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If one has two databases with a different Schema definition, i.e. different structure, then it is pretty difficult to map the data inside these tables together. So Schema mapping is a rather difficult problem. In RDF Schema mapping becomes much more easier. ¶
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To map data in the traditional sense would be rather complicated, but in RDF this becomes very simple as one has to map the things that have the same URI. ¶
For example consider additional data. Thus one need to identify at least two identities. By identifying the same identities one can connect the graphs. ¶
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Data Integration is a pretty simple thing to be made in RDF, especially if compared to traditional relational data.