Data Integration and Data Exchange: It's Really About Time

With the deluge in the amount and variety of data in the world, it is rare for data that describes an entity to be completely contained and managed by a single data source. As a consequence, there is often great value in combining data about an entity from multiple sources, and also from versions of data reported by the same source over time. Data integration in which multiple dimensions of time may be expressed explicitly (as part of the data itself) or implicitly (e.g., the publication date of a data source), must be performed with great care. This is because each data source contains only partial (time-specific) knowledge about an entity, and thus their collective knowledge about the entity may contain conflicts that need to be resolved.

Provided by: Creative Commons Topic: Big Data Date Added: Jan 2012 Format: PDF

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