Content related to Best Practices for Enterprise Knowledge Graph Design
The Metadata Knowledge Graph
Modern data landscapes are characterized by immense volumes of diverse, disparate, and dynamic data sources, leaving many organizations struggling to effectively manage and derive value from their data assets. To address these challenges, a metadata knowledge graph serves as a … Continue reading
A Tale of Two Semantic Layers
In the rapidly evolving landscape of information and data management, the term Semantic Layer is increasingly utilized to describe two different types of ‘layers’ in the modern data stack. The first Semantic Layer is focused on enabling centralized analytics within … Continue reading
Building a Semantic Layer of your Data Platform
Enterprise Knowledge’s Joe Hilger, COO, and Sara Nash, Principal Consultant, presented “Building a Semantic Layer of your Data Platform” at Data Summit Workshop on May 7th, 2024 in Boston, Massachusetts. This presentation delved into the importance of the semantic layer … Continue reading
Analyzing and Optimizing Content for the Semantic Layer
As I wrote in my previous post, Adding Context to Content in the Semantic Layer, the organizational challenge of effectively generating, managing, and distributing content can be addressed by integrating content into a semantic layer. The semantic layer enriches the … Continue reading
Taxonomy and Information Architecture for the Semantic Layer
There is a growing interest in implementing a semantic layer as part of a knowledge management strategy as organizations seek to contextualize and connect their business data and information in meaningful ways. A semantic layer is more than a collection … Continue reading
Enterprise Knowledge Graphs: The Importance of Semantics
Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “Enterprise Knowledge Graphs: The Importance of Semantics” on May 9, 2024, at the annual Data Summit in Boston. In her presentation, Hedden describes the components of an enterprise knowledge graph and provides … Continue reading
Adding Context to Content in the Semantic Layer
Content is a critical organizational asset. Whether product documentation, sales and marketing materials, industry rules and regulations, employee policies, or learning materials, content forms the backbone of operations, decision-making, and end-user experiences. Organizations are challenged to generate content and structure … Continue reading
Expert Analysis: How Do I Get Started with a Semantic Layer? (Using Entity Resolution for Multiple Source Fusion)
The volume of information organizations have available to them is far exceeding their ability to make sense of it all. A big part of the problem is the fact that enterprise data is scattered, disconnected and represented in inconsistent forms. … Continue reading
Optimizing Historical Knowledge Retrieval: Standardizing Metadata for Enhanced Research Access
Enterprise Knowledge (EK) helps a federal research and development center standardize their descriptive metadata to support content findability. Continue reading
Driving Behavioral Change for Information Management through Data-Driven Green Strategy (EDW 2024)
Enterprise Knowledge’s Urmi Majumder, Principal Data Architecture Consultant, and Fernando Aguilar Islas, Senior Data Science Consultant, presented “Driving Behavioral Change for Information Management through Data-Driven Green Strategy” on March 27, 2024 at Enterprise Data World (EDW) in Orlando, Florida. In … Continue reading