Dig Deep About Our Technology
Ontologies are at the heart of IntuView’s technology. They provide a computer-readable conceptualization of domains, transforming raw words into structured, precise, and culturally aware meaning.
Structure
What is an Ontology?
An ontology formally represents “knowledge” in a structured way, defined through:
Hierarchies of Concepts – Object classes, sub-classes, and instances (e.g., Land Vehicles → Hybrid Cars → Toyota Prius).
Attributes & Relationships – Each concept or instance carries attributes (e.g., Engine Type = Hybrid, Manufacturer = Toyota).
Contextual Links – Concepts are related when they share hierarchy, attributes, or proximity (e.g., Penn Station → Manhattan → New York City → USA).
Purpose
Into Clarity
Why Ontologies Matter
In a world where words have many meanings, ontologies are essential for disambiguation. They act as an “Esperanto” for cyber communication — a shared foundation that bridges languages and domains.
Warren Weaver described it best: “Think of individuals living in tall towers… communication is difficult until they descend to a shared basement, where true connection becomes possible.”
Knowledge Base
Ontologies
in IntuView
Within IntuView, ontologies are part of a vast Knowledge Base (KB) that ensures depth, accuracy, and cultural sensitivity.
The Knowledge Base includes:
Lexicon Packages
Language-specific sets of lexemes (words, forms, rules) mapped to ontology instances for precise meaning.
Sources
Documents where each parsed element (article, verse) is linked to one or more ontological instances.
Rule Base
Algorithms that define how lexemes connect to ontology concepts, ensuring consistent mapping and interpretation.
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