Content related to EK’s Heather Hedden and Jane Mosczynski to Present on Taxonomies and the Semantic Layer at the Annual SLA Conference
How to Quickly Prototype a Scalable Graph Architecture: A Framework for Rapid Knowledge Graph Implementation
Sara Nash and Thomas Mitrevski, Consultants in Enterprise Knowedge’s Data and Information Management Division presented on May 4, 2022 at the Knowledge Graph Conference in New York City. The talk focused on How to Quickly Prototype a Scalable Graph Architecture: … Continue reading
Digital Twins and Knowledge Graphs
Enterprise knowledge graphs are one of the fastest growing trends in knowledge management. Their intuitive and flexible structure, combined with their emphasis on relationships between entities, make knowledge graphs a natural fit for use cases that require aggregating content from … 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
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
Content Personalization with Knowledge Graphs in Python
In a recent blog post, my colleague Joe Hilger described how a knowledge graph can be used in conjunction with a componentized content management system (CCMS) to provide personalized content to customers. This post will show the example data from … Continue reading