Re: linking Govtrack data
- --- In firstname.lastname@example.org, Josh Tauberer <tauberer@...> wrote:
> My SemWeb library (http://razor.occams.info/code/semweb) almostdoes it.
I found out about GovTrack while looking into SemWeb. All of
the "<snipped/>" info you provided above is very helpful to me.
It is interesting to me that one part is not really programming at
all. This is the "curation" piece. Coming up with all of
the "knowledge links" between datasets should just be a semantic task
[maybe there are no tools to help].
But I can guess that this can be helped by code to link all of
the "Clinton" [in GovTrack] references to "Hillary/Bill/New
York/Arkansas" [in Wiki/DBPedia].
With some stuff I think about, the first question is: how hard is
this curation? Can this be done with Protege
Then if we do update GovTrack with all this, what happens when
GovTrack is refreshed?
- Roger Williams wrote:
> --- In email@example.com, Josh Tauberer <tauberer@...> wrote:Yes, I think. The diagram is the generic Linking Open Data diagram that
>> The data is marginally interlinked. For instance, their New York
>> is owl:sameAs'd to my New York resource:
>> This was done based on their previously existing owl:sameAs links
> to the
>> Geonames dataset, and then the links I created between Geonames and
>> Census data set (http://www.rdfabout.com/demo/census). That's the
>> of the interlinking --- otherwise the datasets don't connect at
> all. No
>> politician interlinking, for instance. (Also see:
> Yeah...I looked at this DBPedia page before. What I got confused
> about is that it has a bubble for "US Census Data" and
> then "GovTrack" is grey-ed. There is no legend for this graphic.
> Do you know what the "grey-ed" bubbles connote? Is this like more
> than one "degree of separation"?
shows all of the datasets in the LOD community. Besides DBPedia, the
highlighted ones are those which DBPedia itself asserts owl:sameAs links
to. The US Census Data refers to my Census data set which has the
geographic identifiers, and then hanging off of that (the GovTrack
bubble) is the political side to my data.
> But I can guess that this can be helped by code to link all ofIdentifying connections isn't hard to do by hand except that there are a
> the "Clinton" [in GovTrack] references to "Hillary/Bill/New
> York/Arkansas" [in Wiki/DBPedia].
> With some stuff I think about, the first question is: how hard is
> this curation? Can this be done with Protege
lot of connections to identify, and it's more efficient if you can write
a program to do it en mass. For Members of Congress, ok, there are only
435 now, but there are some 10,000 looking back to 1786 (or whatever),
plus there are some 75,000 geographic entities that might be related
between data sets.
> Then if we do update GovTrack with all this, what happens whenWhatever connections are made would be stored in its own file, and since
> GovTrack is refreshed?
the identifiers for things are stable, it would continue to make sense
as data is updated.
- Josh Tauberer
"Yields falsehood when preceded by its quotation! Yields
falsehood when preceded by its quotation!" Achilles to
Tortoise (in "Godel, Escher, Bach" by Douglas Hofstadter)