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 database. However, within the world of graph databases, there are a variety of syntaxes or … Continue reading
Knowledge Graph University
If you’re looking to build out competency with semantics and knowledge graphs in your team, EK’s Knowledge Graph University is a great place to start. This five-module intensive training is taught by our expert instructors who will coach your team … Continue reading
Knowledge Graph Accelerator
Knowledge graphs can make Enterprise AI a reality for your organization. The Knowledge Graph Accelerator offering with Enterprise Knowledge (EK) establishes a practical, standards-based roadmap and prototype to quickly realize the potential of your knowledge and data. What Can Knowledge … Continue reading
Knowledge Management Trends in 2023
As CEO of the world’s largest Knowledge Management consulting company, I am fortunate to possess a unique view of KM trends. For each of the last several years, I’ve written an annual list of these KM trends, and looking back, … Continue reading
Climbing the Ontology Mountain to Achieve a Successful Knowledge Graph
Tatiana Baquero Cakici, Senior KM Consultant, and Jennifer Doughty, Senior Solution Consultant from Enterprise Knowledge’s Data and Information Management (DIME) Division presented at the Taxonomy Boot Camp (KMWorld 2022) on November 17, 2022. KMWorld is the world’s leading knowledge management … Continue reading
JPL’s Institutional Knowledge Graph II: A Foundation for Constructing Enterprise and Domain-Specific Semantic Data Sets
Previously at KMWorld 2021, EK joined JPL to share the vision, approach, and delivery of the Institutional Knowledge Graph (IKG), a centrally maintained, ever-evolving knowledge graph identifying and describing JPL’s enterprise-wide concepts, such as people, organizations, projects, and facilities, and … Continue reading
Why Invest in a Knowledge Graph? Your Digital Transformation and Enterprise AI Initiatives Depend on It
The scope and success for digital transformations and advanced enterprise solutions is driven by a few factors, namely, defined use cases, available data, and people and SMEs. For many organizations, the biggest hurdle is knowing where to start. Starting with … Continue reading
A Data Scientist Perspective on Knowledge Graphs (Part 1): the Data-Driven Challenge
Photographer: Johannes Plenio This series of articles is a data scientist, and data engineer, perspective on knowledge graphs, which is intended not only for other data scientists and engineers, the nerdy role in the office that no one truly understands; … Continue reading
Using Wireframes to Define and Visualize Enterprise Knowledge Graphs
As a complement to our enterprise search engagements with clients, we often end up exploring how the implementation of a knowledge graph can establish the foundation for more advanced KM and data efforts, such as smart search or AI capabilities … Continue reading
What I’m Looking Forward to Learning at SEMANTiCS Austin 2020
SEMANTiCS Austin 2020 is the inaugural SEMANTiCS U.S. conference that will bring together knowledge graphs, ontologies, and Enterprise AI. These topics, among others, are of particular interest to my work in search and semantics, and I am excited to see … Continue reading