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Techniques that both enable (contribute to) and benefit from smart content are content discovery, machine learning, knowledge graphs, semantic linked data, semantic dataintegration, knowledgediscovery, and knowledge management.
The W3C has dedicated a special workshop to talk through the different approaches to building these bigdata structures. Maximize the usability of your data. Also, ensure that your data follows the FAIR data principles and is easily findable, accessible, interoperable and reusable.
The age of BigData inevitably brought computationally intensive problems to the enterprise. Central to today’s efficient business operations are the activities of data capturing and storage, search, sharing, and data analytics. As a result, organizations have spent untold money and time gathering and integratingdata.
This often leaves business insights and opportunities lost among a tangled complexity of meaningless, siloed data and content. Knowledge graphs help overcome these challenges by unifying data access, providing flexible dataintegration, and automating data management.
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