Partitioning and local matching learning of large biomedical ontologies

A Laadhar, F Ghozzi, I Megdiche, F Ravat… - Proceedings of the 34th …, 2019 - dl.acm.org
Conventional ontology matching systems are not well-tailored to ensure sufficient quality
alignments for large ontology matching tasks. In this paper, we propose a local matching …
被引用次数：13 相关文章

Partitioning and Local Matching Learning of Large Biomedical Ontologies

A Laadhar, F Ghozzi, I Megdiche, F Ravat… - 34th ACM/SIGAPP …, 2019 - hal.science
Conventional ontology matching systems are not well-tailored to ensure sufficient quality
alignments for large ontology matching tasks. In this paper, we propose a local matching …
[PDF] academia.edu

[PDF][PDF] Partitioning and Local Matching Learning of Large Biomedical Ontologies

A Laadhar, F Ghozzi, I Megdiche, F Ravat… - … on Applied Computing …, 2019 - academia.edu
Conventional ontology matching systems are not well-tailored to ensure sufficient quality
alignments for large ontology matching tasks. In this paper, we propose a local matching …
[PDF] researchgate.net

[PDF][PDF] Partitioning and Local Matching Learning of Large Biomedical Ontologies

A Laadhar, F Ghozzi, I Megdiche, F Ravat, O Teste… - 2019 - researchgate.net
Conventional ontology matching systems are not well-tailored to ensure sufficient quality
alignments for large ontology matching tasks. In this paper, we propose a local matching …
[PDF] hal.science

[PDF][PDF] Partitioning and Local Matching Learning of Large Biomedical Ontologies

A Laadhar, F Ghozzi, I Megdiche, F Ravat… - Symposium on Applied …, 2019 - hal.science
Conventional ontology matching systems are not well-tailored to ensure sufficient quality
alignments for large ontology matching tasks. In this paper, we propose a local matching …