Closed pietercolpaert closed 5 years ago
Thanks for the pointer and the example. MobiVoc indeed needs certainly a more solid foundation to represent real-time data. The existing solution might work for experiments in research projects, but I have doubts myself that it will hold for fast-changing real-time data in a production system.
While your proposal looks interesting, it forces the user to manage two graphs if I understood it correctly. I am not sure if that added complexity pays off at the end. But I am not an expert in this myself.
There seems to be quite some documentation on how to model data which changes over time. I will review it when the need arises. A good start: http://blog.iandavis.com/2009/08/representing-time-in-rdf-part-1/ I might also remove it entirely in the review which is going to happen now.
While your proposal looks interesting, it forces the user to manage two graphs if I understood it correctly. I am not sure if that added complexity pays off at the end. But I am not an expert in this myself.
Indeed, after giving it some thought, it might be better to describe the time of the observation in the ontology itself instead of using a reification-like approach through named graphs. It might be interesting to see an ontology mapping to SSN/SOSA in the future of this though, but closing this idea for now!
The RDF stream processing community relies on data streams as being triples contained within a graph, and the graph being annotated with a prov:generatedAtTime. I like this general approach.
In mobivoc, the “real-time capacity” needs to be an entity on its own, and needs to be annotated with a mobivoc specific way using
http://schema.mobivoc.org/currentValue
.Can we allow to not reify the object of mv:capacity and annotate this instead via a named graph? E.g., as follows: