Year: 2024
Type: conference-paper
Abstract: In the following we describe our project “Text-based Knowledge Graph Embeddings”. We plan to use text to generate embeddings of entities that are describe in a Knowledge Graph. We want to extend our current work by using new text sources to generate the embeddings, considering embedding in hyperbolic spaces and introducing reasoning mechanisms inside our vector representations.
Authors: Maurino A., Bianchi F., Cremaschi M.
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: Deutsche Forschungsgemeinschaft
OpenAlex ID: W7225359513
