1 code implementation • 8 Apr 2024 • Sowmya S. Sundaram, Benjamin Solomon, Avani Khatri, Anisha Laumas, Purvesh Khatri, Mark A. Musen
Metadata play a crucial role in ensuring the findability, accessibility, interoperability, and reusability of datasets.
no code implementations • 24 Jul 2023 • Sowmya S. Sundaram, Mark A. Musen
With the global increase in experimental data artifacts, harnessing them in a unified fashion leads to a major stumbling block - bad metadata.
no code implementations • 28 Jul 2020 • Katy Börner, Ellen M. Quardokus, Bruce W. Herr II, Leonard E. Cross, Elizabeth G. Record, Yingnan Ju, Andreas D. Bueckle, James P. Sluka, Jonathan C. Silverstein, Kristen M. Browne, Sanjay Jain, Clive H. Wasserfall, Marda L. Jorgensen, Jeffrey M. Spraggins, Nathan H. Patterson, Mark A. Musen, Griffin M. Weber
The CCF enables contributors to HuBMAP to 'register' specimens and datasets within a common spatial reference system, and it supports a standardized way to query and 'explore' data in a spatially and semantically explicit manner.
1 code implementation • 7 Jun 2020 • Maulik R. Kamdar, Mark A. Musen
While the biomedical community has published several "open data" sources in the last decade, most researchers still endure severe logistical and technical challenges to discover, query, and integrate heterogeneous data and knowledge from multiple sources.
no code implementations • 3 Jul 2019 • Rafael S. Gonçalves, Matthew Horridge, Rui Li, Yu Liu, Mark A. Musen, Csongor I. Nyulas, Evelyn Obamos, Dhananjay Shrouty, David Temple
In this paper, we present the engineering of an OWL ontology---the Pinterest Taxonomy---that forms the core of Pinterest's knowledge graph, the Pinterest Taste Graph.
no code implementations • 21 Mar 2019 • Marcos Martínez-Romero, Martin J. O'Connor, Attila L. Egyedi, Debra Willrett, Josef Hardi, John Graybeal, Mark A. Musen
The results show that our approach is able to use analyses of previous entered metadata coupled with ontology-based mappings to present users with accurate recommendations when authoring metadata.
no code implementations • 19 Mar 2019 • Rafael S. Gonçalves, Maulik R. Kamdar, Mark A. Musen
The metadata about scientific experiments published in online repositories have been shown to suffer from a high degree of representational heterogeneity---there are often many ways to represent the same type of information, such as a geographical location via its latitude and longitude.
no code implementations • 21 Feb 2019 • Matthew Horridge, Rafael S. Gonçalves, Csongor I. Nyulas, Tania Tudorache, Mark A. Musen
We present WebProt\'eg\'e, a tool to develop ontologies represented in the Web Ontology Language (OWL).
no code implementations • 17 Aug 2018 • Rafael S. Gonçalves, Mark A. Musen
By clustering metadata field names, we discovered there are often many distinct ways to represent the same aspect of a sample.
no code implementations • 3 Aug 2017 • Rafael S. Gonçalves, Martin J. O'Connor, Marcos Martínez-Romero, John Graybeal, Mark A. Musen
Only 9 out of 452 BioSample-specified fields ordinarily require ontology terms as values, and the quality of these controlled fields is better than that of uncontrolled ones, as even simple binary or numeric fields are often populated with inadequate values of different data types (e. g., only 27% of Boolean values are valid).
Databases
no code implementations • 18 Nov 2016 • Marcos Martinez-Romero, Clement Jonquet, Martin J. O'Connor, John Graybeal, Alejandro Pazos, Mark A. Musen
To overcome this problem, in 2010 the National Center for Biomedical Ontology (NCBO) released the Ontology Recommender, which is a service that receives a biomedical text corpus or a list of keywords and suggests ontologies appropriate for referencing the indicated terms.
no code implementations • 8 Jul 2014 • Simon Walk, Philipp Singer, Markus Strohmaier, Tania Tudorache, Mark A. Musen, Natalya F. Noy
For example, the 11th revision of the ICD, which is currently under active development by the WHO contains nearly 50, 000 classes representing a vast variety of different diseases and causes of death.