How Taxonomies and Ontologies Enable Explainable AI

Taxonomy and ontology models are essential to unlocking the value of knowledge assets. They provide the structure needed to connect fragmented information across an organization, enabling explainable AI. As part of a broader Knowledge Intelligence (KI) strategy, these models help … Continue reading

Semantic Layer for Content Discovery, Personalization, and AI Readiness

A professional association needed to improve their members’ content experiences. With tens of thousands of content assets published across 50 different websites and 5 disparate content management systems (CMSes), they struggled to coordinate a content strategy and improve content discovery. They could not keep up with the demands of managing content … Continue reading

Semantic Layer Maturity Framework Series: Taxonomy

Taxonomy is foundational to the Semantic Layer. A taxonomy establishes the essential semantic building blocks upon which everything else is built, starting by standardizing naming conventions and ensuring consistent terminology. From there, taxonomy concepts are enriched with additional context, such … Continue reading

The Role of Taxonomy in Labeled Property Graphs (LPGs) & Graph Analytics

Taxonomies play a critical role in deriving meaningful insights from data by providing structured classifications that help organize complex information. While their use is well-established in frameworks like the Resource Description Framework (RDF), their integration with Labeled Property Graphs (LPGs) … Continue reading

Why Your Taxonomy Needs SKOS 

Taxonomies are a valuable tool for capturing semantic context, but their full value can only be realized when they’re represented in a standardized format. This infographic introduces SKOS (Simple Knowledge Organization System) and demonstrates how your organization’s taxonomies can reach their full potential. Continue reading

Extracting Knowledge from Documents: Enabling Semantic Search for Pharmaceutical Research and Development

The Challenge A major pharmaceutical research and development company faced difficulty creating regulatory reports and files based on years of drug experimentation data. Their regulatory intelligence teams and drug development chemists spent dozens of hours searching through hundreds of thousands … Continue reading