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Using Knowledge Graph Data Models to Solve Real Business Problems

A successful business today must possess the capacity to quickly glean valuable insights from massive amounts of data and information coming from diverse sources. The scale and speed at which companies are generating data and information, however, often makes this … Continue reading »

Increase the Re-Use of Knowledge Assets with Semantic Hubs

In my last blog, I discussed how knowledge graphs aggregate information from multiple systems to enable powerful search and discovery tools. A semantic hub (or semantic middleware) is a metadata-enhanced bridge that connects a knowledge graph to user-facing applications, helping … Continue reading »

The Roadmap to Open, Accessible, and Machine-Readable Data

In January, the federal government passed a new law to improve data management at federal agencies, H.R. 4174, the “Foundations for Evidence-based Policymaking Act of 2018”. The law includes the Open, Public, Electronic, and Necessary Government Data Act, or the … Continue reading »

Beyond Find: The Five Levels of Artificial Intelligence for Knowledge

At Enterprise Knowledge, our work in the field of Knowledge and Information Management has given us the opportunity to explore a wide range of organizational goals and business drivers with our clients. Over the years, these goals have progressed from simply … Continue reading »

Knowledge Graphs for Search and Discovery

For many projects at Enterprise Knowledge, making information more findable and discoverable is a common ask. Clients often ask questions like: Does my organization have any documents that detail the role of product owners on search projects? Have we previously … Continue reading »