Remove Big Data Remove Data Integration Remove Knowledge Discovery
article thumbnail

Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

Techniques that both enable (contribute to) and benefit from smart content are content discovery, machine learning, knowledge graphs, semantic linked data, semantic data integration, knowledge discovery, and knowledge management.

Strategy 267
article thumbnail

Crafting a Knowledge Graph: The Semantic Data Modeling Way

Ontotext

The W3C has dedicated a special workshop to talk through the different approaches to building these big data 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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Why Establishing Data Context is the Key to Creating Competitive Advantage

Ontotext

The age of Big Data 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 integrating data.

article thumbnail

Knowledge Graphs 101: The Story (and Benefits) Behind the Hype

Ontotext

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 data integration, and automating data management.