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Re:Ontology for the life sciences: genes, proteins, diseases... by __afk__ on Monday January 20, 2020 @11:05PM (#22104231)
As a semantic architect, this is not my experience. In fact, I see very few large graphs in the wild. The problem is, unsurprisingly, that describing data is difficult. Relating your own conceptualization of a domain to anothers is frustrating and time consuming. It will always be easier to create a bespoke model. So, people just don't do it. As for OBO, there are many interesting comments here. The OBO ontologies all utilize BFO as an upper-level and in this regard they are united. But otherwise, their quality and utility varies tremendously. I still believe in this work and hope that one day everyone will think about their data as being longer-lived and more important than the software that generated it.
Re:Ontology for the life sciences: genes, proteins, diseases... by ablekh on Tuesday January 21, 2020 @09:27AM (#22107114)
Thank you for sharing your thoughts. Just curious: If you were tasked with architecting and implementing a semantic layer for a complex SaaS platform in a large domain from scratch, what would be your approach and what technology stack would you prefer to use and why? What best practices would you adopt, if any?