WikiData and simlar platforms

[Thejesh GN]

Hi All,

Last few months, I have been experimenting with WikiData, DataCommons, Semantic Web, Knowledge graph, etc.

Over time I am planning to move some data slowly to WikiData. I will keep this post updated. The learning curve is a little steep. But I think WikiData and similar platforms seem to natural allies to what we do here, just like OSM. So as a community, I think it's a good investment of time.

What do you guys think?

Thej
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Thejesh GN ⏚ ತೇಜೇಶ್ ಜಿ.ಎನ್
http://thejeshgn.com
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[Arun Ganesh]

On Thu, Dec 24, 2020 at 12:19 AM Thejesh GN <i...@thejeshgn.com> wrote:

Hi All,

Last few months, I have been experimenting with WikiData, DataCommons, Semantic Web, Knowledge graph, etc.

Over time I am planning to move some data slowly to WikiData. I will keep this post updated. The learning curve is a little steep. But I think WikiData and similar platforms seem to natural allies to what we do here, just like OSM. So as a community, I think it's a good investment of time.

What do you guys think?

100% support!

Supporting and contributing back to wikidata is a natural fit. All the data is public domain CC-0 and really is the master of all open datasets.

For those who have no background on Wikidata, it's a sibling project of Wikipedia with a goal to semantically organize all knowledge on earth as an open queryable datastore. Every concept/topic has a unique stable identifier and consists of statements that define it, eg India = https://www.wikidata.org/wiki/Q668 . Also check out this nice overview of Wikidata+OSM by Naveen Francis https://wiki.openstreetmap.org/w/images/0/0a/Wikidata%2BOpenStreetMap.pdf

[Dilawar Singh]

It would be nice to have a look at available user-facing tools for Wikidata and Datacommons. I believe the DataCommons has more bells and whistles (user can interact with data in the browser) while wikidata lacks such interactive tools. May be such tools are available from third parties.

Nonetheless, my vote is for WikiData as the official source, and if possible mirror it to DataCommons so people can explore it easily .

--

Dilawar Singh, Ph.D.

LinkedIn ORCID Github

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