My 30 minutes of our tutorial on how to use Wikidata for biomedical data and beyond.

1. Cooking the big soup
https://commons.wikimedia.org/wiki/File:Wikidata-logo-en.svg
Sebastian Burgstaller-Muehlbacher

2. Introduction
● Single value edits are simple, due to the web
interface of Wikidata.
● How to easily mass import data into Wikidata?
● Answer: Use Bots!
● Combine Wikidata API and query endpoints.
● Python as preferred language.

3. PBB_core
Resource specific code
Auxiliary classes
PBB_core
Data silo
-Get data from silo
-Clean data
-Make silo to Wikidata mapping
-Take mapped data
-Lookup WD if item already exists
-Throw exception if inconsistencies occur
-Construct or modify a WD item JSON object
-Provide logging capabilities
-Provide WD login infrastructure
-Provide settings
1.
2.
3.
4.
1. Get data and map to WD
2. Login to WD
3. Provide PBB_core with data
4. Request write to WD

4. What does an item look like, really?
https://goo.gl/Ndbcd4
https://www.wikidata.org/w/api.php?action=wbgetentities&ids=Q423111

5. A Minimal Bot

6. A Minimal Bot for Mass Data Import

7. Advantages of PBB_core
● One interface to Wikidata for (your) bots!
● Fast development and deployment of new bots.
● Integrates Wikidata querying and writing.
● Prevents creation of duplicate items.
● Searches for duplicate use of identifiers.
● Compatible to Python 2 and Python 3.
● Execute queries with SPARQL or WDQ.
● Minimizes HTTP traffic, increases throughput.

8. All Wikidata data types
● All current Wikidata data types have been implemented.
– PBB_core.WDString
– PBB_core.WDItemID
– PBB_core.WDMonolingualText
– PBB_core.WDProperty
– PBB_core.WDQuantity
– PBB_core.WDTime
– PBB_core.WDUrl
– PBB_core.WDGlobeCoordinate
– PBB_core.WDCommonsMedia

9. Conclusions
● Mass data imports require scripts/aka bots
● Our solution: PBB_core
– Python framework for reading from and writing to
Wikidata
– Implementing all Wikidata data types
– Implementing consistency checks of data to be
written.
– Get it from:
https://bitbucket.org/sulab/wikidatabots/src

10. Let's hack Wikidata!!
culturedigitally.org