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Knowledge Media Institute

Embedding Complex Knowledge: From Geometric to Language Models

Dr Jiaoyan Chen

Dr Jiaoyan Chen – The University of Manchester


This event took place on Tuesday 03 March 2026 at 11:00


Semantic embedding is to represent symbolic knowledge as vectors, which can dramatically extend the tools and algorithms for processing and utilising symbolic knowledge. In the report, I will focus on some recent embedding methods for ontologies of Web Ontology Language, which are equipped with different kinds of semantics including Description Logic, hierarchical graph structure and literals. The contents vary from geometric embeddings for logical and hierarchical relationships, to language model-based embeddings for text-equipped ontologies.


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