Presentations

The Next Forty Years

 by Michael Lang, CEO

Level: Introductory -- We are at an inflection point where the confines of existing data management practices are being exchanged for a more flexible, extensible platform.  Over the next forty years, data will evolve from siloed schemas and become completely distributed, machine readable, and useable without complex mapping and coding.   

Making Semantic Data Federation Work

 by Alex Miller, Architect / Senior Engineer

Level: Intermediate -- Enterprises are drowning in data that they can't find, access, or use. For many years, enterprises have wrestled with the best way to combine all that data into actionable information without building systems that break as schemas evolve. Approaches like warehousing and ETL can be brittle in the face of changing data sources or expensive to create. Data integration at the application level is common but this results in significant complexity in the code. Data-oriented web services attempt to provide reusable sources of integrated data, however these have just added another layer of data access that constrain query and access patterns.

How to Implement A Semantic Solution Without Blowing Up Your Company

 by Paul Bradley, SVP Account Management

Level: Introductory -- If semantic technology poses a credible solution, how should you get onboard? What do you need to consider when building an ontology framework? What kind of background should an ontologist have? Where should you begin and how should you get a semantic solution off the ground? In this presentation, these questions are looked at from both a business and an IT perspective. This presentation explores an incremental, non-disruptive approach of introducing semantic technology to solve real business problems while running the business and leveraging your existing IT investments.

Relational-to-RDF Mapping

 by Mike Lang Jr., Chief Ontologist, & David McNeil, Engineer

Level: Intermediate -- A detailed look at the process of exposing relational database systems as SPARQL 1.1 end points.

Semantic Modeling Notation

 by Robert Scanlon, Chief Engineer

Level: Intermediate/Expert -- For technically oriented users interested in an in-depth look at a standardized way of ontology modeling and visualization, see this extensive deck prepared by one of our lead engineers. Content includes the structural aspects of ontologies, facilitating ontology modeling, and enhancing human understanding of the models.