On Generating SHACL Shapes from Collective Collection of Plant Trait Data
Dadan Ridwan Saleh, Yulia Aris Kartika, Zaenal Akbar, Adila Alfa Krisnadhi, Widya Fatrıasarı · 2022
Collective data collection has become common in various domains, including biodiversity science. Multiple individuals work on the same biological samples or specimens using various scientific tools to measure different characteristics. Moreover, the measurements are typically regulated by different data collection procedures and protocols. Integrating and guaranteeing the quality of the data has become a significant issue. One solution is to adopt the RDF (Resource Description Framework) data model in combination with a language for validating RDF graphs such as SHACL (Shapes Constraint Language). The RDF data model provides flexibility in accommodating multiple data schemas, while SHACL uses a set of conditions so called shapes, to validate the RDF data graphs. The remaining challenge is an effective method to define SHACL shapes that can be used to validate any given RDF data.