7 citations · 8 across the 6 of their papers we have counts for
5 papers · 1 filter
Improving Interoperability among Defence and National Security Ontologies: Analysis and Evaluation Tasks
Jonathon Dilworth, Pedro Giesteira Cotovio, David Herron +4
The use of ontologies and knowledge graphs is becoming increasingly widespread in the defence and national security domain. Numerous ontologies have been developed through initiati…
Large Language Models as Oracles for Ontology Alignment
Sviatoslav Lushnei, Dmytro Shumskyi, Severyn Shykula +2
There are many methods and systems to tackle the ontology alignment problem, yet a major challenge persists in producing high-quality mappings among a set of input ontologies. Adop…
What can knowledge graph alignment gain with Neuro-Symbolic learning approaches?
Pedro Giesteira Cotovio, Ernesto Jimenez-Ruiz, Catia Pesquita
Knowledge Graphs (KG) are the backbone of many data-intensive applications since they can represent data coupled with its meaning and context. Aligning KGs across different domains…
Understanding Adverse Biological Effect Predictions Using Knowledge Graphs
Erik Bryhn Myklebust, Ernesto Jimenez-Ruiz, Jiaoyan Chen +2
Extrapolation of adverse biological (toxic) effects of chemicals is an important contribution to expand available hazard data in (eco)toxicology without the use of animals in labor…
Contextual Semantic Embeddings for Ontology Subsumption Prediction
Jiaoyan Chen, Yuan He, Yuxia Geng +3
Automating ontology construction and curation is an important but challenging task in knowledge engineering and artificial intelligence. Prediction by machine learning techniques s…