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

Sara Nash Presenting at Data Architecture Online

Sara Nash, Principal Consultant at Enterprise Knowledge, will be moderating the keynote session titled “Data Architecture for AI” at Data Architecture Online’s annual event on Wednesday, July 23rd at 11:30am EST. Through this session, attendees will gain valuable insights into … Continue reading

Semantic Graphs in Action: Bridging LPG and RDF Frameworks

Enterprise Knowledge is pleased to introduce a new webinar titled, Semantic Graphs in Action: Bridging LPG and RDF Frameworks. This webinar will bring together four EK experts on graph technologies to explore the differences, complementary aspects, and best practices of … 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

Women’s Health Foundation – Semantic Classification POC

A humanitarian foundation focusing on women’s health faced a complex problem: determining the highest impact decision points in contraception adoption for specific markets and demographics. Two strategic objectives drove the initiative—first, understanding the multifaceted factors (from product attributes to social influences) that guide women’s contraceptive choices, and second, identifying actionable insights from disparate data sources. The key challenge was integrating internal survey response data with internal investment documents to answer nuanced competency questions such as, “What are the most frequently cited factors when considering a contraceptive method?” and “Which factors most strongly influence adoption or rejection?” This required a system that could not only ingest and organize heterogeneous data but also enable executives to visualize and act upon insights derived from complex cross-document analyses. Continue reading

Humanitarian Foundation – SemanticRAG POC

A humanitarian foundation needed to demonstrate the ability of its Graph Retrieval Augmented Generation (GRAG) system to answer complex, cross-source questions. In particular, the task was to evaluate the impact of foundation investments on strategic goals by synthesizing information from publicly available domain data, internal investment documents, and internal investment data. The challenge laid in …. Continue reading