Knowledge Base - Enterprise Knowledge

A Practical Guide to an Intranet Remodel: Small Taxonomy Wins for a Big Impact

Bonnie Griffin . June 16, 2026 . Presentation

The world of knowledge management is moving at a fast pace and it is challenging to keep up with trends that often demand investing in the latest tooling to solve increasingly complex semantic challenges. However, for many organizations, particularly non-profits, … Continue reading

Ontology and Knowledge Graph in the Age of AI and Agents

Diana Felder . June 8, 2026 . Blog

As organizations accelerate investments in AI, semantic data models, advanced analytics, and agentic transformation, lots of jargon gets thrown around, and this sometimes results in confusion about how data driven systems work. In the realm of semantic layers, one of … Continue reading

Why AI Projects Fail Without a Common Language: The Case for Taxonomy Standards

Emma Chow . Eloragh Espie . May 27, 2026 . Blog

As organizations rush to adopt AI solutions and technologies, the necessary structures to support such solutions are often overlooked. Gartner predicts that by 2026, 63% of organizations will not have the right data management practices for AI. This gap shows … Continue reading

How to Scale a Semantic Layer with Interoperable Ontologies

James Egan . Diana Felder . May 19, 2026 . Blog

A Semantic Layer is the framework for connecting data from multiple sources and formats in both a human- and machine-readable way that enables organizations to understand the meaning of their data, extract contextualized information, and discover new insights. A key … Continue reading

A Practical Guide to a Taxonomy Remodel

Bonnie Griffin . May 18, 2026 . Blog

For anyone who has undertaken any form of home remodel or loves to watch television shows featuring them, the general phases of a home renovation are familiar: visualizing the target state of the remodeled home, carrying out structural work, demolition, … Continue reading

Taxonomies vs. Ontologies for Enabling AI-Readiness

Kathleen Gollner . May 11, 2026 . Blog

AI solutions need to be grounded in an organization’s context. It is difficult to reliably distill context from the entirety of an organization’s knowledge assets, including facts, documents, datasets, and other structured records. Without a specific directive on what matters … Continue reading

Taxonomies in the Age of AI: Evolving Your Strategy

Bonnie Griffin . April 15, 2026 . Blog

The Topic Taxonomy: An Outdated Artifact? As knowledge workers continue to navigate constantly evolving priorities in developing effective AI solutions that complement organizational priorities, semantics have maintained their value—but not without shifts that deserve our attention. Broadly speaking, one reliable … Continue reading

Leveraging a Semantic Layer for Research Curation and Conversational Experiences

EK Team . March 18, 2026 . Case Study

The Challenge A global philanthropic organization focused on health programs struggled to fully leverage knowledge from semi-structured and unstructured documents. Specifically, within a health-related funding program, researchers lacked access to key qualitative data from end-user surveys and transcripts. Consequently, they … Continue reading

Optimizing Historical Knowledge Retrieval: Extracting Knowledge by Making Connections

EK Team . February 4, 2026 . Case Study

The Challenge From POC to Production A Federally Funded Research and Development Center (FFRDC) faced significant challenges with low-quality or incomplete metadata for managing and cataloging scientific reports, hindering researchers’ ability to parse repositories and efficiently discover relevant content. As … Continue reading

Taxonomy Alignment for SDG Tagging

Ben Kass . January 28, 2026 . Presentation

In the session “Utilizing Taxonomies to Meet UN SDG Obligations“ co-presented at KMWorld 2025 on November 17th, Enterprise Knowledge’s Ben Kass and ASHA’s Mike Cannon discuss how they structured taxonomies within an ongoing auto-tagging implementation to serve content management and … Continue reading