Is anyone working on an "auto-resolve" bot? If you have VIAF (but nothing else), you can resolve other identifiers via the VIAF site; similarly, if you have only GND, you could try to reverse-lookup VIAF.
I think a list of items that have zero external identifiers, ordered by "importance" (incoming wikidata links, number of statements etc) would also be helpful. On Fri, Sep 8, 2017 at 10:52 AM Jane Darnell <[email protected]> wrote: > As a basic rule for "which external identifiers are worth covering", I > would begin with any national identifiers we have for people (politicians, > artists, writers, theologians, scientists, etc), then national identifiers > for organizations (government-related, GNP-related businesses, nonprofits, > educational institutions, etc), then national identifiers for places > (census-defined population centers, battle-scenes, etc) > > In my opnion, the question should not be "which identifier has the most > coverage" but "which items have the most identifiers" > > > On Thu, Sep 7, 2017 at 9:26 PM, Andrew Gray <[email protected]> > wrote: > >> Hi Marco, >> >> I guess this depends what you mean by "exhaustive". Exhaustive in that >> every Wikidata item has ID X, or exhaustive in that we have every >> instance of ID X in Wikidata? >> >> The first is probably not going to happen, as the vast majority of >> external identifiers have a defined scope for what they identify. Some >> are pretty broad - VIAF is essentially "everyone who exists in a >> library catalogue as an author or subject" - but still have a limit. >> We're never really going to reach a situation where there is a single >> identifier type that covers everyone, unless we're linking across to >> another Wikidata-type comprehensive knowledgebase, and even then we'd >> need to ensure we're in a position where they already cover everything >> in Wikidata. >> >> The second can (and has) been done - the largest one I know of offhand >> for people is the Oxford DNB (60k items) but for non-people we have >> complete coverage of eg Swedish district codes, P1841 (160k items). >> It's a bit of a slog to get these completed and then maintained, since >> the last 5-10% tend to be more challenging complicated cases, but one >> or two determined people can make it happen. And of course it's not >> appropriate for many identifiers, as they may issue IDs for things >> that we don't intend to have in Wikidata, so we will never completely >> cover them. >> >> I should quickly plug the "expected completeness" property which is >> really useful for identifiers - P2429 - as this can quickly show >> whether something is a) completely on Wikidata; b) not complete yet >> but eventually might be; or c) probably never will be. Not very widely >> rolled out yet, though... >> >> Andrew. >> >> >> On 7 September 2017 at 19:51, Marco Fossati <[email protected]> >> wrote: >> > Hi everyone, >> > >> > As a data quality addict, I've been investigating the coverage of >> external >> > identifiers linked to Wikidata items about people. >> > >> > Given the numbers on SQID [1] and some SPARQL queries [2, 3], it seems >> that >> > even the second most used ID (VIAF) only covers *25%* of people items >> circa. >> > Then, there is a long tail of IDs that are barely used at all. >> > >> > So here is my question: >> > *which external identifiers deserve an effort to achieve exhaustive >> > coverage?* >> > >> > Looking forward to your valuable feedback. >> > Cheers, >> > >> > Marco >> > >> > [1] https://tools.wmflabs.org/sqid/#/browse?type=properties "Select >> > datatype" set to "ExternalId", "Used for class" set to "human Q5" >> > [2] total people: http://tinyurl.com/ybvcm5uw >> > [3] people with a VIAF link: http://tinyurl.com/ya6dnpr7 >> > >> > _______________________________________________ >> > Wikidata mailing list >> > [email protected] >> > https://lists.wikimedia.org/mailman/listinfo/wikidata >> >> >> >> -- >> - Andrew Gray >> [email protected] >> >> _______________________________________________ >> Wikidata mailing list >> [email protected] >> https://lists.wikimedia.org/mailman/listinfo/wikidata >> > > _______________________________________________ > Wikidata mailing list > [email protected] > https://lists.wikimedia.org/mailman/listinfo/wikidata >
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