“When you say glacier, does it have to have ice in it?”
Handling how meaning varies across (sub-)community usage of terminology is an essential part of building good metadata systems.
In this session, we will briefly introduce how the Semantic Harmonization cluster uses semantic technologies to reconcile diverse - and sometimes conflicting - definitions of key terms in Earth and environmental science.
Some outcomes of our ongoing “cryohackathon” series will be summarized, following which we will perform a live harmonization activity across environmental terms used to describe life science data: terms from SWEET, ENVO, and the Genomes OnLine Database (GOLD).
The resulting harmonized semantic resources helps make these systems and solutions truly interoperate, supporting the next generation of distributed data science.
View Recording
View Session Notes
View
PresentationsTakeawaysTBD