The Resource Description Framework (RDF)
Simply defined, a knowledge graph is a network of entities, their attributes, and how they’re related to one another. While these networks can be captured and stored in a variety of formats, most implementations leverage a graph based tool or … Continue reading
Enterprise AI Architecture Series: How to Extract Knowledge from Unstructured Content (Part 2)
Our CEO, Zach Wahl, recently noted in his annual KM trends blog for 2025 that Knowledge Management (KM) and Artificial Intelligence (AI) are really two sides of the same coin, detailing this idea further in his seminal blog introducing the … Continue reading
Knowledge Cast – Ahren Lehnert at Nike
Enterprise Knowledge CEO Zach Wahl speaks with Ahren Lehnert, Principal Taxonomist at Nike. In this conversation, Zach and Ahren discuss the future of taxonomy and artificial intelligence (AI), emphasizing both the augmentation of traditional roles and growth to include new … Continue reading
Metadata Within the Semantic Layer
As a standardized framework for connecting organizational assets, a Semantic Layer captures organizational knowledge and domain meaning to support connecting and coordinating assets across systems and repositories. Metadata, as one component of a Semantic Layer approach, is foundational. Whether you … Continue reading
Why Graph Implementations Fail (Early Signs & Successes)
Organizations continue to invest heavily in efforts to unify institutional knowledge and data from multiple sources. This typically involves copying data between systems or consolidating it into a new physical location such as data lakes, warehouses, and data marts. With … Continue reading
Enhancing Retail Performance with Semantic Layer As an Enabler for Data and Analytics Teams
In the fast-paced retail sector, organizations need to be able to quickly view store performance analytics in order to make crucial decisions. A leading global retail chain faced significant delays of up to 5-6 weeks when attempting to retrieve essential store performance metrics and create reports for executive leadership. This bottleneck was largely due to … Continue reading
A Semantic Layer to Enable Risk Management at a Multinational Bank
Enterprise Knowledge is working with a multinational bank to enable their risk-assessing processes by using semantics and connected data. Heavily regulated financial services firms require comprehensive and complex risk management. This requires employees to thoroughly account for risk and report it in detail to regulators. Continue reading
Consulting from Within: Best Practices for the Solo Taxonomist
On November 19th, 2024, Bonnie Griffin, Taxonomy Consultant, delivered a presentation titled “Consulting from Within: Best Practices for the Solo Taxonomist” at the 2024 edition of Taxonomy Boot Camp in Washington, DC. Griffin shared best practices to help solo taxonomists … Continue reading
How Semantic Layers Support Product Search and Discovery
Taxonomies have been in use for a long time on e-commerce websites. They help users find the products they want to buy by means of organized categories and subcategories of product types, and the feature of filtering by product attributes. … Continue reading
EK’s Tesfaye and Hedden to Speak at the Henry Stewart Semantic Data New York Event
“Semantic Data: Taxonomies, Ontologies, and Knowledge Graphs,” a new one-day conference, will be held Wednesday, October 23, 2024 in New York. The conference will feature EK’s Lulit Tesfaye as the invited keynote speaker and Heather Hedden as a session speaker. … Continue reading