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Meet the Speaker: John O’Gorman

Session: A Radical Departure From Received Wisdom: Introducing Foundational Data Management

SPEAKER John O’Gorman, Principal and Chief Disambiguation Officer, Quantum Semantics Inc. John O’Gorman is an information management professional specializing in semantic interoperability. His nearly twenty-five years of experience has produced an information management model called Q6 that is designed to fully integrate ‘upstream’ vocabularies with ‘midstream’ associations and ‘downstream’ presentations and analytics. His model is technology agnostic, language neutral, and domain independent. He believes that clients want ‘practical magic’ in their EIM projects and he delivers that in a straight forward, engaging manner. John has worked with clients in Healthcare (Alberta Health Services), Oil and Gas (Suncor, Devon, Husky, and Grizzly), Education (Mount Royal University) and Software Development and Documentation (BMC and Documentum) to implement a multi-dimensional, three-tier information architecture that connects the ‘language you know’ with business terminology services, business fact registries, and navigable file-based and graphic interfaces. He lives in a log home in the Alberta foothills with his wife and two children in Bragg Creek, Alberta.

SESSION

A Radical Departure From Received Wisdom: Introducing Foundational Data Management
Track: Governance
John O’Gorman, Principal and Chief Disambiguation Officer, Quantum Semantics Inc.

Data management is the only discipline aside from psychology lacking a foundation from which to extend basic principles of understanding. Mathematics, engineering, accounting, physics, biology, chemistry, architecture, music, computer science, and linguistics have all benefitted from the establishment of rigorously logical roots, but not data management. That is about to change. Natural language and all of its various forms, meanings, and interpretations is often cited as the primary reason for rampant ambiguity and soft science; all of the disciplines listed above had similar issues before the establishment of peer-reviewed patterns that removed most of the uncertainty.

This presentation will make the case that our current understanding of the relationships between information, data, understanding, and content is seriously flawed. Starting with a dismissal of the old ‘data-information-knowledge-wisdom’ pyramid it will instead demonstrate that a new approach – starting with information ‘in the wild’ and the natural dimensionality of human communication – will set in motion a set of solutions to previously intractable problems in data management.