Ontology on Aneesh Sathe

Ontologies Are So Back: Why AI Agents Are Reviving the Semantic Web

Thu, 30 Jul 2026 15:07:06 +0000

Bookmarked: Ontologies Are So Back: Why AI Agents Are Reviving the Semantic Web

Bringing this to AI in bio-sciences will be critical for AI to be even more useful than it is now.

“In computer science, an ontology is “a description of data structure – of classes, properties, and relationships in a domain of knowledge” (as nicely defined by Oxford Semantic Technologies). Coyle himself defined an ontology as simply “data as graphs.” He added that ontologies as a concept go right back to Aristotle, and have been used throughout the history of Artificial Intelligence.“ And “ you can have a reasoner built on ontology, to check [and] keep the LLM on track — have guardrails to keep it honest”

The Shelter as Epistemic Engine

Wed, 17 Dec 2025 06:35:42 +0000

This is a continuation of my ongoing exploration of places and spaces. Previously: We need homes in the delta quadrant, Thinking with places, Problems are places questions are spaces.

Introduction: The Terror of the Open Field #

We tend to think of “Space” as a vacuum—an emptiness waiting to be filled. But geographically and philosophically, Space is actually a condition of high-entropy potential. As Yi-Fu Tuan famously articulated, space is “freedom,” but it is also “possibility without orientation.” It is the open field where everything is possible, which means nothing is yet distinct.

Domain Ontologies: Indispensable for Knowledge Graph Construction

Wed, 15 Jan 2025 08:06:00 +0000

AI slop is all around and increasingly extraction of useful information will face difficulties as we start to feed more noise into the already noisy world of knowledge. We are in an era of unprecedented data abundance, yet this deluge of information often lacks the structure necessary to derive meaningful insights. Knowledge graphs (KGs), with their ability to represent entities and their relationships as interconnected nodes and edges, have emerged as a powerful tool for managing and leveraging complex data. However, the efficacy of a KG is critically dependent on the underlying structure provided by domain ontologies. These ontologies, which are formal, machine-readable conceptualizations of a specific field of knowledge, are not merely useful, but essential for the creation of robust and insightful KGs. Let’s explore the role that domain ontologies play in scaffolding KG construction, drawing on various fields such as AI, healthcare, and cultural heritage, to illuminate their importance.