CATEGORY:

Semantic Interoperability

Inter-

operability:Challenges, Solutions and Examples

Many health systems are like mazes of data. Because they are not interconnected, they fail to ensure the level of care and cost efficiency they can potentially provide, which is why interoperability is now in the spotlight.   Semantic interoperabilit...

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Automating with Data Fabric

The fact that data comes from from different data sources typically implies that they have different data semantics, which makes unifying and integrating these datasets a challenge. The semantic differences across the datasets make it hard to incorporate them together in the same analytical task, reducing the ability to get a holistic view of the data. Data Fabric techniques can automate key steps...

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Breaking down the importance of Semantic Inter-operability

The use of data Integration continues to grow, and is now taking up over a third of the average IT department budget. Semantic interoperability is the ability for systems to exchange information with shared meaning using universal standards. Semantic...

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The Journey of Semantic Data Management

Semantic data has relationships, meaning and context, which makes this type of data valuable. For organizations with a command of their data, all this contextual information is available in a flash, but historically, getting this data has been a very manual and slow process. Instead of looking at semantic data management as an endpoint on a map, it makes more sense to focus on a data management st...

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The role of Semantic Interoperability in IoT

Semantic Interoperability is a key technology to create autonomous operations and preserve the inherent meaning of data across different sources. This drives down cost and accelerates the development of new value-adding services.   READ THE ARTICLE (...

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