Content related to What is an Enterprise Knowledge Graph and Why Do I Want One?
Knowledge Cast Product Spotlight – Joe Pairman of RWS Group
In this episode of the Knowledge Cast, Joe Hilger speaks with Joe Pairman, Director of Product Management at RWS Group. RWS Group is a world-leading provider of technology-enabled language, content management, and intellectual property services. Joe is in charge of … Continue reading
What Software Engineering Can Teach Knowledge Engineers about Version Control
Information models like taxonomies and ontologies are rarely built independently, and they are never static. At EK, knowledge engineers partner with clients to build these models through an iterative process of design, validation, and implementation. The models that come out … Continue reading
Where Does a Knowledge Graph Fit Within the Enterprise?
Our clients often assume that building a knowledge graph requires that all data be managed in a single place for it to be effective. That is not the case. There are a variety of ways that organizations can solve for … Continue reading
How to Explain Ontologies to Any Audience
Recently, I’ve been thinking a lot about how we can better explain complex, semantic concepts like ontologies, knowledge graphs, and data fabrics to others in an approachable, easy-to-understand manner. I’ve been in any number of situations where I’ve struggled to … Continue reading
Knowledge Cast Product Spotlight – Michael Andrews of Kentico
In this episode of the Knowledge Cast, Joe Hilger speaks with Michael Andrews, Content Strategy Evangelist at Kentico. Kentico is a global software vendor with two award-winning products, Kontent and Xperience. Michael has been at Kentico since 2019 and focuses … Continue reading
A Data Scientist Perspective on Knowledge Graphs (Part 1): the Data-Driven Challenge
Photographer: Johannes Plenio This series of articles is a data scientist, and data engineer, perspective on knowledge graphs, which is intended not only for other data scientists and engineers, the nerdy role in the office that no one truly understands; … Continue reading
N-CATT – Data Strategy, Data Management and Data Governance Workshop
The Challenge National Center for Applied Transit Technology (N-CATT), a technical assistance center funded by the Federal Transit Administration and operated by the Community Transportation Association of America, seeks to provide small-urban, rural, and tribal transit agencies with practical, replicable … Continue reading
Transforming Tabular Data into Personalized, Componentized Content using Knowledge Graphs in Python
My colleagues Joe Hilger and Neil Quinn recently wrote blogs highlighting the benefits of leveraging a knowledge graph in tandem with a componentized content management system (CCMS) to curate personalized content for users. Hilger set the stage explaining the business … Continue reading
Knowledge Graph Accelerator for Data Standardization and Environmental Social Governance (ESG)
The Challenge A global management consulting firm needed to establish a standardized, central platform for consultants to see insights on environmental impacts associated with supply chain processes. Historically, this information was stored in disparate locations, often hidden within departmental documents … Continue reading
Knowledge Management Technology to Improve Learning Outcomes
Learning Ecosystems should be designed to not only present educational information, but to truly promote learning. There are many factors that improve learning outcomes within learning ecosystems, but two of those factors most strongly impacted by knowledge management technology are … Continue reading