Llms4om: Matching ontologies with large language models
Ontology Matching (OM), is a critical task in knowledge integration, where aligning
heterogeneous ontologies facilitates data interoperability and knowledge sharing …
heterogeneous ontologies facilitates data interoperability and knowledge sharing …
Automatic Knowledge Graph matching via Self-adaptive Designed Genetic Programming
X Xue - Knowledge-Based Systems, 2024 - Elsevier
Abstract Knowledge Graph (KG) provides a structured representation of domain knowledge
by formally defining entities and their relationships. However, distinct communities tend to …
by formally defining entities and their relationships. However, distinct communities tend to …
[PDF][PDF] DTAG: A Methodology for Aggregating Digital Twins Using the WoTDT Ontology
S González-Gerpe, M Poveda-Villalón… - Applied Sciences, 2024 - oa.upm.es
The advancement of digital twins (DTws) has been instrumental in various scientific and
industrial domains, facilitating real-time monitoring, analysis, and optimisation of complex …
industrial domains, facilitating real-time monitoring, analysis, and optimisation of complex …
OAEI Machine Learning Dataset for Online Model Generation
Ontology and knowledge graph matching systems are evaluated annually by the Ontology
Alignment Evaluation Initiative (OAEI). More and more systems use machine learning-based …
Alignment Evaluation Initiative (OAEI). More and more systems use machine learning-based …
[PDF][PDF] BioSTransMatch Results@ OAEI 2024
S Menad, S Abdeddaïm, LF Soualmia - 2024 - ceur-ws.org
This paper aims at presenting the results obtained by BioSTransMatch at the OAEI 2024
competition, marking its first participation in this event. In this context, we applied the model …
competition, marking its first participation in this event. In this context, we applied the model …