Results of the ontology alignment evaluation initiative 2020

MAN Pour, A Algergawy, R Amini, D Faria… - … Workshop on Ontology …, 2020 - hal.science
The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching
systems on precisely defined test cases. These test cases can be based on ontologies of …

Contextualized structural self-supervised learning for ontology matching

Z Wang - arXiv preprint arXiv:2310.03840, 2023 - arxiv.org
Ontology matching (OM) entails the identification of semantic relationships between
concepts within two or more knowledge graphs (KGs) and serves as a critical step in …

[PDF][PDF] AMD results for OAEI 2022.

Z Wang - OM@ ISWC, 2022 - disi.unitn.it
AgreementMakerDeep (AMD) is a new flexible and extensible ontology matching system. It
exploits the contextual and structural information of ontologies by infusing knowledge to pre …

[PDF][PDF] An eye on representation learning in ontology matching.

G Sousa, R Lima, C Trojahn - OM@ ISWC, 2022 - ceur-ws.org
Abstract Representation learning has received increased attention in the last few years in
several tasks, including knowledge graph completion, entity resolution, and ontology …

Ontology design patterns and methods for integrating phenotype ontologies

SM Alghamdi - 2023 - repository.kaust.edu.sa
Ontologies are widely used in various domains, including biomedical research, to structure
information, represent knowledge, and analyze data. The combination of ontologies from …

[图书][B] Formal Methods for Managing and Processing Ontology Alignments

M Pietranik - 2024 - books.google.com
Ontologies are formal knowledge representation methods that can provide means for a
shared understanding of a given domain. To enable meaningful communication and …

Amélioration de l'alignement de propriétés d'ontologies grâce aux plongements et à l'extension d'alignement

G Sousa, R Lima, C Trojahn - … d'Ingénierie des Connaissances (IC 2023 …, 2023 - hal.science
Les approches d'alignement de propriétés de schémas de graphes de connaissances
restent en retrait par rapport à la mise en correspondance des classes. Les propriétés …

Alfa: active learning for graph neural network-based semantic schema alignment

VV Meduri, A Quamar, C Lei, X Qin, B Reinwald - The VLDB Journal, 2024 - Springer
Semantic schema alignment aims to match elements across a pair of schemas based on
their semantic representation. It is a key primitive for data integration that facilitates the …