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 • 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