For the purposes of this ticket, I want to focus attention on the "terminology-like subset" of KWGO, specifically the part that drives the faceting of searches on the data portal:
Note that KWGO models some of these as individuals but I don't think this is relevant for the alignment task.
KWGO also contains modeling elements like has ORCID that I would prefer to remain out of scope for now
I think an alignment between the terminological event subset of kwgo and ENVO could be highly valuable. I think perhaps even the case could be made that having ENVO-driven faceted searching could be useful for KWG as the number of event types expands. A number of other projects make sure of ENVO to drive hierarchical faceted search (we do for NMDC).
If this makes sense I can do a first pass of the mapping using lexmatch
KnowWhereGraph (KWG) provides a linked data approach to identifying events of interest geographically.
The KWG schema (aka "ontology") can be found here: https://stko-kwg.geog.ucsb.edu/lod/ontology
For the purposes of this ticket, I want to focus attention on the "terminology-like subset" of KWGO, specifically the part that drives the faceting of searches on the data portal:
Note that KWGO models some of these as individuals but I don't think this is relevant for the alignment task.
KWGO also contains modeling elements like has ORCID that I would prefer to remain out of scope for now
I think an alignment between the terminological event subset of kwgo and ENVO could be highly valuable. I think perhaps even the case could be made that having ENVO-driven faceted searching could be useful for KWG as the number of event types expands. A number of other projects make sure of ENVO to drive hierarchical faceted search (we do for NMDC).
If this makes sense I can do a first pass of the mapping using lexmatch