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 in the various aspects of knowledge graphs, from the basic concepts and business applications through to the technical skills needed to create your own knowledge graph from scratch. We tailor the course to your audience and skillset needs, highlighting the information you need to successfully achieve your business goals. The EKGU five modules of training are offered at three levels (basic, intermediate, and advanced) customized to the following individuals:
Information Analysts – Foundational principles around taxonomies, ontologies, and semantics, and the common business applications of ontology based on real case studies. Provides approaches to support simple to complex semantic solutions by analyzing content and data sources to discover relationships, making connections across large datasets.
Taxonomists/Ontologists – Gain hands-on experience to design and implement complex ontology solutions that involve the integration of taxonomies, ontologies, and knowledge graphs. Hands-on modeling and practice labs offer practical experience with documenting ontology designs in a subset of industry leading semantic tools for ontology management.
Data/Knowledge Managers – Outcomes based and user-centric approach to ontology design and graph implementation, based on real world applications. Specific approaches to align technical requirements to organizational ROI.
Knowledge Graph Engineers/Implementers – Hands-on experience to lead and support the technical implementation of semantic solutions leveraging best-of-class, field-proven taxonomy/ontology management tools, and graph databases. Master key concepts around semantic inference, structured and unstructured data, auto-tagging, SPARQL, advanced validation with SHACL, implementation of Knowledge Graphs and Artificial Intelligence (AI) solutions.
Skills / Knowledge
- Ontology Basics
- Ontology Design