activity
20162024
most citedNCBO Ontology Recommender 2.0: An Enhanced Approach for Biomedical Ontology Recommendation

103 citations · 309 across the 8 of their papers we have counts for

collaborators

8 papers

cs.DB2024★ 9 cited

A Change Language for Ontologies and Knowledge Graphs

Harshad Hegde, Jennifer Vendetti, Damien Goutte-Gattat +9

Ontologies and knowledge graphs (KGs) are general-purpose computable representations of some domain, such as human anatomy, and are frequently a crucial part of modern information…

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.DB2021★ 94 cited

A Simple Standard for Sharing Ontological Mappings (SSSOM)

Nicolas Matentzoglu, James P. Balhoff, Susan M. Bello +41

Despite progress in the development of standards for describing and exchanging scientific information, the lack of easy-to-use standards for mapping between different representatio…

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.DL2019★ 7 cited

The FAIR Funder pilot programme to make it easy for funders to require and for grantees to produce FAIR Data

P. Wittenburg, H. Pergl Sustkova, A. Montesanti +57

There is a growing acknowledgement in the scientific community of the importance of making experimental data machine findable, accessible, interoperable, and reusable (FAIR). Recog…