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Augmenting knowledge graphs with data visualizations

Augmenting knowledge graphs with data visualizations

July 5, 2018

Data visualizations have pervaded into every aspect of data landscape today — from drag-and-drop approaches to data preparation to visual mechanisms for issuing queries. Significantly, data visualizations are vital for exploring knowledge graphs. In this article, Jans Aasman, a cognitive science expert, and CEO of Franz, Inc., an early innovator in artificial intelligence (AI) based in California, USA, notes that the ability to visualize data, their relationships to one another and connections to business objectives gives organizations the power to uncover insights that would otherwise elude them.

Knowledge graphs help determine relationships between even apparently unrelated data sets to indicate their relevance to specific tasks. Furthermore, by linking data from across the enterprise, knowledge graphs offer a breadth of perceptivity into how data-driven processes can actualize organizational objectives. In addition, by augmenting knowledge graphs with visualizations, an organization can understand the full scope of the relationships, their relevance to business processes, and the nuanced meaning of a particular data set. This enables users to view the features on a screen and modify them with a click.

Click here to discover more benefits of using data visualization in conjunction with knowledge graphs.

Brought to you by Scope e-Knowledge Center, an SPi Global Company, a trusted global partner for Digital Content Transformation Solutions, Knowledge Modeling (Taxonomies, Thesauri and Ontologies), Abstracting & Indexing (A&I), Metadata Enrichment and Entity Extraction.

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