When most people think of artificial intelligence (AI), they think of advanced machine learning algorithms, deep neural networks or computational cybernetics. The futuristic-sounding concepts that are having an impact on the world around us. What doesn’t come to mind are taxonomies, ontologies and schemas. This topic came to us from the Business Post in their article, “AI and machine learning: known knowns, unknown unknowns and wrangling the data.”
AI and machine learning require structured information to train machines to learn and understand how to replicate human behavior. Taxonomies provide the means for machines to understand hierarchies in the information. Ontologies specify the domains.
A data taxonomy is the classification of data into categories and sub-categories. It provides a unified view of the data in a system and introduces common terminologies and semantics across multiple systems. Taxonomies represent the formal structure of classes or types of objects within a domain.
Data Harmony is a fully customizable suite of software products designed to maximize precise, efficient information management and retrieval. Our suite includes tools for taxonomy and thesauri construction, machine aided indexing, database management, information retrieval and explainable AI.
Melody K. Smith
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
|
Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.
