<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Cultural Heritage Data on Aneesh Sathe</title><link>https://aneeshsathe.com/tags/cultural-heritage-data/</link><description>Recent content in Cultural Heritage Data on Aneesh Sathe</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 15 Jan 2025 08:06:00 +0000</lastBuildDate><atom:link href="https://aneeshsathe.com/tags/cultural-heritage-data/index.xml" rel="self" type="application/rss+xml"/><item><title>Domain Ontologies: Indispensable for Knowledge Graph Construction</title><link>https://aneeshsathe.com/domain-ontologies-indispensable-for-knowledge-graph-construction/</link><pubDate>Wed, 15 Jan 2025 08:06:00 +0000</pubDate><guid>https://aneeshsathe.com/domain-ontologies-indispensable-for-knowledge-graph-construction/</guid><description>&lt;p&gt;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. &lt;strong&gt;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&lt;/strong&gt;. 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&amp;rsquo;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.&lt;/p&gt;</description></item></channel></rss>