BLOG Archives - Page 2 of 16 - Cambridge Semantics

Merck KGaA, Bosch, and Deloitte share their knowledge graph stories

Leaders from Merck KGaA, Bosch, and Deloitte discuss their vision for knowledge graph technology and how they are translating that vision into reality within their own Digital Twin, Regulatory Data Fabric, and Operational Resilience initiatives.

Build knowledge cards of your data, the way Google does for search

To accomplish this data surfacing from a simple query, you need a data fabric. The data fabric being the metadata layer that ties your simple search query to all the common results a user would want surfaced, forming your very own knowledge card.

Why There’s A Need for Knowledge Graphs

This blog post explores how a knowledge graph has the ability to support agile development and data integration while connecting data across the enterprise.

5 Common Barriers to Launching a Knowledge Graph Project

Across industries our technical experts have found themes in obstacles to launching a knowledge graph project. Here are the common barriers and how to avoid them.

Managed Vocabularies, Ontologies, and an Enterprise Scale Knowledge Graph: A Primer

This blog provides a primer on the concepts of managed vocabularies and ontologies and how they relate to and can be implemented in a knowledge graph. This is an excerpt from the ebook The Rise of the Knowledge Graph.

Knowledge Graph: Who Cares? And What Can One Do With It?

In a previous post that described knowledge graphs and their benefits, we discussed how knowledge graphs help organizations make more of their enterprise data easy to find, understand, and use. This post argues for knowledge graph technology and discusses common application areas of knowledge graphs.

Machine Understandable Context and Why It Matters

This post continues the larger discussion of knowledge graphs, their roles, uses and significance. We discuss context, it’s importance, and how to establish it using formal ontology to create machine understandable information. It is useful to read posts, such as Knowledge Graphs: A Love Affair and The Rise of The Knowledge Graph, to understand this article…in context!

Knowledge Graphs: Origins, Inhibitors and Breakthroughs

This post discusses some history of knowledge graph technology, what went wrong, and key advances that have allowed knowledge graphs to reenter the enterprise “data arena.” We also highlight some important outcomes of the technology.

AI, ML and Advanced Analytics Strategies: Look Before You Leap

The phrase, “garbage in, garbage out” comes to mind. In other words, logically, if one’s premise is flawed, so also are one’s conclusions. Nevertheless, we can’t seem to tame our fascination with “shiny objects.” This article discusses a “prerequisite” foundation on which to build successful AI, ML and advanced analytics capabilities.

The Rise of the Knowledge Graph

Recently writer and technologist, Dean Allemang joined forces with Cambridge Semantics’ founders, Sean Martin and Ben Szekely, to write a definitive guide all things knowledge graph related. The Rise of the Knowledge Graph offers anyone building a knowledge graph or just interested in the topic a solid introduction to this emerging data management architecture.

Knowledge Graphs: A Love Affair

This article describes the concept of the knowledge graph, how knowledge graphs support data interoperability and some of their benefits. The reader will gain an understanding of what a knowledge graph is, it’s role in data interoperability, and be more prepared to understand their role in data integration and access.

Starting at the Finish Line: How Anzo’s Upcoming Release Will Create a Knowledge Gr …

With Anzo’s upcoming 5.2 release, you can build a knowledge graph from multiple sources without having to manually build the graph model. With one click, any collection of enterprise data sources can be transformed into an interconnected graph form.