5 papers · 1 filter
Neuro-symbolic learning over OWL 2 DL via consequence-based compilation to differentiable circuits
Olga Mashkova, Asaad Mohammedsaleh, Fernando Zhapa-Camacho +1
OWL 2 DL ontologies, grounded in the description logic , express large knowledge bases in biomedicine and the Semantic Web. Neuro-symbolic (NeSy) learners over des…
Moose: Latent concept learning with reasoning-shortcut awareness in
Olga Mashkova, Asaad Mohammedsaleh, Fernando Zhapa-Camacho +1
The OWL 2 EL profile is used in some of the largest production ontologies, including the Gene Ontology and SNOMED CT. Existing neuro-symbolic (NeSy) learning methods accept proposi…
DELE: Deductive Embeddings for Knowledge Base Completion
Olga Mashkova, Fernando Zhapa-Camacho, Robert Hoehndorf
Ontology embeddings map classes, roles, and individuals in ontologies into , and within similarity between entities can be computed or new axioms infer…
Enhancing Geometric Ontology Embeddings for with Negative Sampling and Deductive Closure Filtering
Olga Mashkova, Fernando Zhapa-Camacho, Robert Hoehndorf
Ontology embeddings map classes, relations, and individuals in ontologies into , and within similarity between entities can be computed or new axioms i…
Ontology Embedding: A Survey of Methods, Applications and Resources
Jiaoyan Chen, Olga Mashkova, Fernando Zhapa-Camacho +3
Ontologies are widely used for representing domain knowledge and meta data, playing an increasingly important role in Information Systems, the Semantic Web, Bioinformatics and many…