Why Your Data Won't Mix: New tools and techniques can help ease the pain of reconciling schemas.
A Halevy - Queue, 2005 - dl.acm.org
Queue, 2005•dl.acm.org
When independent parties develop database schemas for the same domain, they will almost
always be quite different from each other. These differences are referred to as semantic
heterogeneity, which also appears in the presence of multiple XML documents, Web
services, and ontologies—or more broadly, whenever there is more than one way to
structure a body of data. The presence of semi-structured data exacerbates semantic
heterogeneity, because semi-structured schemas are much more flexible to start with. For …
always be quite different from each other. These differences are referred to as semantic
heterogeneity, which also appears in the presence of multiple XML documents, Web
services, and ontologies—or more broadly, whenever there is more than one way to
structure a body of data. The presence of semi-structured data exacerbates semantic
heterogeneity, because semi-structured schemas are much more flexible to start with. For …
When independent parties develop database schemas for the same domain, they will almost always be quite different from each other. These differences are referred to as semantic heterogeneity, which also appears in the presence of multiple XML documents, Web services, and ontologies—or more broadly, whenever there is more than one way to structure a body of data. The presence of semi-structured data exacerbates semantic heterogeneity, because semi-structured schemas are much more flexible to start with. For multiple data systems to cooperate with each other, they must understand each other’s schemas. Without such understanding, the multitude of data sources amounts to a digital version of the Tower of Babel.
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