Here's a (not so) hypothetical question.
Suppose I've got some database that was populated from some data
source like Freebase or DBpedia. I've got my own internal identifiers,
so I can say that
dbpedia:George_Washington -> mysystem:88582
fbase:/en/george_washington -> mysystem:88582
The whole reason I'm doing this is so I can make assertions about
these entities. Some of these come from Freebase and DBpedia and some
of them come from other places.
If I look at a single moment in time, I feel like I've got this
under control. I can load DBpedia version X or a freebase data dump
from a particular week and it all works perfectly.
Of course, at some point my data gets stale and I need to update
it. For instance, there's a new batch of players who got drafted by
the NFL I want to know about, or I want to know about movies that are
going to be released soon, or have some vocabulary for the Fukushima
muclear accident or maybe I just try to extract some facts from the
latest Freebase dump and discover that a distressing number of mids have
changed in the last six months.
So I need some way to keep my knowledge base synced up with changes
in external knowledge base(s) although I might settle for treating one
as authoritative. It's not clear that there's sufficient information in
DBpedia to track changes (although some renames could be tracked by
following the wikipedia id's) but I think a good job can be done with
Freebase: mid redirect records can be used to follow renames and
merges, and at least sometimes with splits there are gardening hints
that help.
I can imagine heuristics that would probably work on an ad hoc
basis, but it seems to me there ought to be an intellectually
consistent approach to this problem. Is anyone familiar with anything
in the literature on this?
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