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!
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.
Data Fabrics: The Killer Use Case for Knowledge Graphs
Sometimes in hindsight the “killer use case” for a new technology or idea seems obvious, but just as often finding the ideal application for a novel invention can take a while. Today a good example of a new idea that has been around for awhile, but which is just now finding its killer use case is the use of knowledge graphs as part of a data fabric architecture.
Life Sciences & Healthcare: Two Industries Separated by Common Data
Life Sciences (Pharmaceutical, Biotechnology and Medical Device) and Healthcare (Providers and Payors) organizations need to be able to handle and analyze many diverse sets of longitudinal health data in order to manage long-term and often complex patient health journeys and optimize outcomes.
‘The State of Graph Databases in 2020’ Tweet Chat
Recently, we tweet chatted with several Big Data thought leaders. In this wide-ranging conversation we discussed graph database adoption, its application to COVID-19 data and which graph query language is best. Read this blogpost to get their insights.
Best Practices for Integrating IoT Data with Knowledge Graphs
The sheer difficulty of Internet of Things integrations presents issues for even the most accomplished data integration platforms, including modern data fabrics predicated on harmonizing data in knowledge graphs for inter-system interoperability.