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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>OWL2Vec*: Embedding of OWL Ontologies · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2009.14654/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2009.14654/feed.xml" rel="self" type="application/rss+xml" /><item><title>OWL2Vec*: Embedding of OWL Ontologies — mentioned by evanjrowley</title><link>https://news.ycombinator.com/item?id=43929694</link><guid isPermaLink="false">urn:hackerpapers:mention:2009.14654:43929694</guid><pubDate>Thu, 08 May 2025 18:38:14 GMT</pubDate><description>&lt;p&gt;The markup in this case would be some type of semantic web format, like JSON-LD[0] or OWL[1], or some database that can process SPARQL[2] queries. Goal being the &amp;quot;inverse&amp;quot; of something like OWL2Vec[2]. EDIT1: A few weeks ago, a team of Brazilian researchers published a report about using ChatGPT to enhance agriculture-focused OWL dataset[4]. EDIT2: In addition to training LLMs on ontologies, it looks like Palantir is using ontologies as guardrails to prevent LLM hallucinations[5]. Makes sense. [0] https://json-ld.org/ [1] https://www.w3.org/TR/owl2-syntax/ [2]…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2009.14654/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
