[HTML][HTML] Tackling the challenges of matching biomedical ontologies
Background Biomedical ontologies pose several challenges to ontology matching due both
to the complexity of the biomedical domain and to the characteristics of the ontologies …
to the complexity of the biomedical domain and to the characteristics of the ontologies …
Semantic data integration
M Cheatham, C Pesquita - Handbook of big data technologies, 2017 - Springer
The growing volume, variety and complexity of data being collected for scientific purposes
presents challenges for data integration. For data to be truly useful, scientists need not only …
presents challenges for data integration. For data to be truly useful, scientists need not only …
[PDF][PDF] Results of AML participation in OAEI 2018
AgreementMakerLight (AML) is a system for automated ontology matching that is
characterized by its efficiency, extensibility, and ability to incorporate external knowledge. In …
characterized by its efficiency, extensibility, and ability to incorporate external knowledge. In …
Matching multiple ontologies to build a knowledge graph for personalized medicine
A rich biomedical knowledge graph can support the multi-domain data integration necessary
for the application of Artificial Intelligence models in personalised medicine. Constructing …
for the application of Artificial Intelligence models in personalised medicine. Constructing …
[PDF][PDF] AgreementMakerLight results for OAEI 2013.
AgreementMakerLight (AML) is an automated ontology matching framework based on
element-level matching and the use of external resources as background knowledge. This …
element-level matching and the use of external resources as background knowledge. This …
[HTML][HTML] Automatic background knowledge selection for matching biomedical ontologies
Ontology matching is a growing field of research that is of critical importance for the semantic
web initiative. The use of background knowledge for ontology matching is often a key factor …
web initiative. The use of background knowledge for ontology matching is often a key factor …
AML and AMLC results for OAEI 2019
AgreementMakerLight (AML) is an ontology matching system designed with scalability,
extensibility and satisfiability as its primary guidelines, as well as an emphasis on the ability …
extensibility and satisfiability as its primary guidelines, as well as an emphasis on the ability …
OAEI 2016 results of AML
AgreementMakerLight (AML) is an automated ontology matching system based primarily on
element-level matching and on the use of external resources as background knowledge …
element-level matching and on the use of external resources as background knowledge …
Coordinating dissent as an alternative to consensus classification: insights from systematics for bio-ontologies
The collection and classification of data into meaningful categories is a key step in the
process of knowledge making. In the life sciences, the design of data discovery and …
process of knowledge making. In the life sciences, the design of data discovery and …
[HTML][HTML] Improving the interoperability of biomedical ontologies with compound alignments
D Oliveira, C Pesquita - Journal of biomedical semantics, 2018 - Springer
Background Ontologies are commonly used to annotate and help process life sciences data.
Although their original goal is to facilitate integration and interoperability among …
Although their original goal is to facilitate integration and interoperability among …