most citedOntology Embedding: A Survey of Methods, Applications and Resources

26 citations · 26 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2026

A hierarchy of faithfulness criteria for knowledge base completion

Olga Mashkova, Robert Hoehndorf

Knowledge graph completion is evaluated by ranking observed triples above randomly corrupted ones, which treats every unobserved fact as false. When the object being completed is a…

cs.AI2026

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…

cs.AI2026

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…

cs.IR2026

SIDEKICK: A Semantically Integrated Resource for Drug Effects, Indications, and Contraindications

Mohammad Ashhad, Olga Mashkova, Ricardo Henao +1

Pharmacovigilance and clinical decision support systems utilize structured drug safety data to guide medical practice. However, existing datasets frequently depend on terminologies…

cs.AI2024

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…

cs.AI2024

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…

cs.AI2024★ 26 cited

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…