The Semantic Backbone of Modern AI
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The Semantic Backbone of Modern AI
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このコンテンツについて
This episode is based on the Semantic Blog post and offers a comprehensive overview of the fundamentals, development, and advanced applications of ontologies in the technology landscape between 2022 and 2025.
We define ontologies as the backbone of semantic understanding in Artificial Intelligence (AI) systems, detailing their essential components (classes, properties, and axioms) and distinguishing them from Knowledge Graphs (KGs).
You will hear about Ontology Engineering, including development methodologies and the growing synergy with Large Language Models (LLMs), which are used both to accelerate ontology creation and to improve their accuracy.
We conclude the episode by illustrating the versatility of ontologies across use cases, including Explainable AI (XAI), semantic information retrieval, and the integration of heterogeneous data in sectors such as healthcare and construction.