Hello Abe and welcome!
I'm working on inventaire.io <https://inventaire.io>, which might be the
closest existing thing to what you're describing: for the needs of the
book sharing webapp, we maintain an open bibliographic database using
Wikidata vocabulary and extending Wikidata
<https://wiki.inventaire.io/wiki/Data?lang=en> for entries that don't
match the notability requirements and/or were automatically generated
from data found on the web and that couldn't be reconciled with existing
entities on Wikidata. We build edition data primarily around ISBNs,
which are part of GTINs. This wasn't built using Wikibase but with an
/ad hoc/ software (see repo <http://github.com/inventaire/inventaire/>)
as Wikibase federation wasn't ready at all when we started, and still
misses some critical pieces today, but we are considering moving the
bibliographic data in a dedicated federated Wikibase instance at some
point <https://github.com/inventaire/inventaire/issues/186>. The rest of
the data (users, inventories, transactions, maybe reviews
<https://trello.com/c/uwdkvGl1/114-book-reviews> in the future) would
keep their current form (documents in CouchDB databases without any
relation to the Wikidata data model).
So, answering your question, I don't think Wikidata is the place to
crowdsource data about retail products but I'm convinced a database
doing this should do it using Wikidata vocabulary! And just like we are
glad that the WikiProject_Books
<https://www.wikidata.org/wiki/Wikidata:WikiProject_Books> and WikiCite
<https://www.wikidata.org/wiki/Wikidata:WikiCite/Roadmap> exists to work
on a consistent (*/cough/* almost */cough/*) data model on books that we
can reuse within Inventaire
<https://inventaire.github.io/entities-map/>, there are several projects
in or around Wikidata with which such a project could/should work:
- the *WikiObject <https://meta.wikimedia.org/wiki/WikiObject>* sister
project proposal: you got to check that, Quico, the main contributor (in
cc) has been doing quite some research on this very close project
- Wikidata:WikiProject_Companies
<https://www.wikidata.org/wiki/Wikidata:WikiProject_Companies>
- Wikidata:W
<https://www.wikidata.org/wiki/Wikidata:WikiProject_Materials>ikiProject_Materials
<https://www.wikidata.org/wiki/Wikidata:WikiProject_Materials>
- OpenFoodFacts <http://openfoodfacts.org/>, which also has to deal with
GTIN and products properties, and which expressed interest in getting
more integrated with Wikidata
<https://en.wiki.openfoodfacts.org/Structured_Data/Wikidata>
Also of interest:
- Open Product Data <http://product-open-data.com/>, a project that was
sharing your idea but couldn't get the momentum(?)
- the GoodRelations <http://www.heppnetz.de/projects/goodrelations/>
ontology
- OpenCorporates <https://opencorporates.com/>, unfortunately not so
open from what I could tell
I have been dreaming of such a database for a while now (see my (now old
><) articles P2P Resources Management
<https://maxlath.eu/articles/p2p-rm/>, Wikidata and the apt-get of
things
<https://maxlath.eu/articles/wikidata-and-the-apt-get-of-things/>,
Mapping resources using open knowledge
<https://maxlath.eu/articles/mapping-resources-using-open-knowledge/>),
and extending Inventaire to other things that books has always been in
the category of the possible futures, so I would be more than happy to
hear more about any progresses on this :)
Bests,
Maxime Lathuilière
maxlath.eu <http://maxlath.eu> - twitter <https://twitter.com/maxlath> -
mastodon <http://mastodon.social/@maxlath> - User:Maxlath
<https://www.wikidata.org/wiki/User:Maxlath>
inventaire.io <https://inventaire.io> - roadmap
<https://trello.com/b/0lKcsZDj/inventaire-roadmap> - code
<https://github.com/inventaire/inventaire> - mastodon
<https://mamot.fr/@inventaire> - twitter
<https://twitter.com/inventaire_io> - facebook
<https://facebook.com/inventaire.io>
for personal emails use [email protected] instead
Le 19/09/2018 à 21:49, Abe Voelker a écrit :
Hello,
I was checking out Wikidata and was wondering if it would be a good
fit for a website I wanted to make to crowdsource data about retail
products, storing properties like product name, description, UPC/GTIN,
MPN, manufacturer, color, size, and so on.
I take it that due to Wikidata's Wikipedia notability requirement I'd
have to operate my own Wikibase instance separate from Wikidata? In
that case, is it still possible to integrate with Wikidata's
ontologies, or do I have to have my own completely separate ontology
from scratch (I'd hate to have to reinvent the real basic properties
and constraints)? Are there similar projects I could look at to get an
idea how to partially-fork Wikidata in this way?
Another thing I'm wondering about is how I would integrate data that
wouldn't necessarily fit into the product data ontology, like customer
reviews of the product, or sale offers (offers having their own
properties like price, availability, condition, and hyperlink to
seller's site) - things that aren't inherent characteristics of the
item and change often. I was wondering if it would be easier to have a
"wrapper" website that stores this data separate, while still
integrating with the core product data from Wikibase. Does anyone have
any experience or references to projects doing an integration like
that? I'm wondering what the easiest way to integrate the two would be
- connect directly to the MySQL database, sync databases with hooks,
SPARQL, etc.
Also, some of the data for this website I'd wish to populate by
crawling online retail stores and manufacturers and performing edits
with a bot. Some of these sites provide schema.org <http://schema.org>
metadata, so I was wondering if that makes integration with
Wikidata/Wikibase any easier, or do I still have to do some kind of
manual mapping process between the two.
Thanks for your patience with this braindump as I'm new to Wikidata
and still trying to wrap my head around things. I did the Wikidata
tutorials, messed around with a local Wikibase install using Docker
Compose, and a lot of clicking around Wikidata and reading about
ontologies but it feels like I've just barely scratched the surface!
Thank you,
Abe Voelker
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