This talk will present automatic TypeDB schema generation, natural language queries over TypeDB and schema visualisation as an Object-Role Model, Entity Relationship Diagram and Property Graph Schema.
The Boston/FactEngine database productivity products are demonstrated over the TypeDB database engine.
- Natural language queries over a rule/inference-based schema and semantic modelling for TypeDB.
- Knowledge graphs containing semantic information require the best tools to quickly find information and to visualise the schema in a graphical and textual form.
- Boston and FactEngine exploit the basis of hypergraph technology to offer a solution to visualising and understanding schema and data within a TypeDB database implementation.
Victor is an industry veteran with a reputation for solving large and intractable problems. Victor is passionate about product development, solution architecture and data science. With over 25 years of experience in Fact-Based Modelling/Object-Role Modeling, Victor brings this experience to knowledge graphs and hypergraph solutions like TypeDB. Victor's current area of research and development spans knowledge-based expert systems and natural language query processing.