activity
20162022
most citedNCBO Ontology Recommender 2.0: An Enhanced Approach for Biomedical Ontology Recommendation

103 citations · 199 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DL2022★ 1 cited

Modeling community standards for metadata as templates makes data FAIR

Mark A. Musen, Martin J. O'Connor, Erik Schultes +3

It is challenging to determine whether datasets are findable, accessible, interoperable, and reusable (FAIR) because the FAIR Guiding Principles refer to highly idiosyncratic crite…

cs.DB2019★ 60 cited

The CEDAR Workbench: An Ontology-Assisted Environment for Authoring Metadata that Describe Scientific Experiments

Rafael S. Gonçalves, Martin J. O'Connor, Marcos Martínez-Romero +4

The Center for Expanded Data Annotation and Retrieval (CEDAR) aims to revolutionize the way that metadata describing scientific experiments are authored. The software we have devel…

cs.DB2019★ 26 cited

Using association rule mining and ontologies to generate metadata recommendations from multiple biomedical databases

Marcos Martínez-Romero, Martin J. O'Connor, Attila L. Egyedi +4

Metadata-the machine-readable descriptions of the data-are increasingly seen as crucial for describing the vast array of biomedical datasets that are currently being deposited in p…

cs.DB2017★ 9 cited

Metadata in the BioSample Online Repository are Impaired by Numerous Anomalies

Rafael S. Gonçalves, Martin J. O'Connor, Marcos Martínez-Romero +2

The metadata about scientific experiments are crucial for finding, reproducing, and reusing the data that the metadata describe. We present a study of the quality of the metadata s…

cs.AI2016★ 103 cited

NCBO Ontology Recommender 2.0: An Enhanced Approach for Biomedical Ontology Recommendation

Marcos Martinez-Romero, Clement Jonquet, Martin J. O'Connor +3

Biomedical researchers use ontologies to annotate their data with ontology terms, enabling better data integration and interoperability. However, the number, variety and complexity…