Blog: Why New AI Tools Like ChatGPT Need Knowledge Graphs
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The US Federal Government’s Zero-Trust (ZT) mandate requires the assessment and managing of cyber risk of data. Simultaneously, these Agencies must become more OPEN in sharing government data as required by Title II of the Evidence Act.

Semantics is a natural solution to this seeming paradox. Using semantics, Agencies can establish a ZT model to capture the metadata necessary to both protect data, and make it more interoperable and reusable. Stored in RDF, a standard model for data interchange on the Web, this data then can be used by any application or website, properly and safely.

Best of all, investments in semantics by Agencies are cumulative, increasing efficiency and fostering interagency collaboration. Any semantic model created in RDF by one Agency can easily be matched and combined with another Agency’s work.

Learn how government agencies can establish a Zero-Trust model while complying with open data requirements in this white paper.

The US Federal Government’s Zero-Trust (ZT) mandate requires the assessment and managing of cyber risk of data. Simultaneously, these Agencies must become more OPEN in sharing government data as required by Title II of the Evidence Act.

Semantics is a natural solution to this seeming paradox. Using semantics, Agencies can establish a ZT model to capture the metadata necessary to both protect data, and make it more interoperable and reusable. Stored in RDF, a standard model for data interchange on the Web, this data then can be used by any application or website, properly and safely.

Best of all, investments in semantics by Agencies are cumulative, increasing efficiency and fostering interagency collaboration. Any semantic model created in RDF by one Agency can easily be matched and combined with another Agency’s work.

Learn how government agencies can establish a Zero-Trust model while complying with open data requirements in this white paper.

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