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Navigating time in knowledge graphs

Franz’s CEO, Jans Aasman, recently wrote the following article for InfoWorld.

The temporal benefits of cognitive knowledge graphs can affect almost any business problem, including basic issues of data management such as data quality, data cleansing, and integration

The concept of time presents several distinct challenges for data management, particularly as it applies to databases or stores. Those difficulties are related to the nature of time, which is ongoing, and its expressions in repositories. The former means data are relevant both at state (a point in time) and over periods of time, which increases the complexity.

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