Finn ˚Arup Nielsen, Daniel Mietchen, Egon Willighagen
Cognitive Systems, DTU Compute, Technical University of Denmark;
Data Science Institute, University of Virginia; Dept of Bioinformatics - BiGCaT, NUTRIM, Maastricht University
3 June 2018
How much geospatial data do we have?
5’855’337 Wikidata geocoor- dinate links according to the query:
S E L E C T ( C O U N T (*) AS ? cnt ) W H E R E { [] wdt : P 6 2 5 []. }
From Chinese village, Dutch roads, Danish restaurants, . . . The numbers: around 48 million Wikidata items, over 5 milliard triples, over 13 million DOI links, around 39 thousand geolocatable topics of works with DOI: SELECT (COUNT(*) AS ?count) WHERE { [] wdt:P356 [] ; wdt:P921 / wdt:P625 [] }
Application of Wikidata geospatial data
There are several applications using geospatial data from Wikidata.
Magnus Manske has produced Rea- sonator that displays a map for a spe- cific Wikidata item and Wikishootme that shows a map with geolocatable Wikidata items missing an image (see screenshot).
You can also discover Wikidata items near your with the special URL https://
www.wikidata.org/wiki/Special:Nearby in the MediaWiki software.
Scholia
Scholia is a webservice running from https://tools.wmflabs.org/scholia/
Display information from Wikidata about researchers, works and their ci- tations, organizations, venues, events, topics, etc.
Panels for each Wikidata item con- structed with calls to the Wiki- data Query Service (WDQS), show- ing tables and plots such as bub- ble charts and line plot as well as OpenStreetMap-based maps.
Geospatial data with Scholia: topic
Maps established with simple queries to WDQS.
Find works about a topic (here Ma- yaro virus) with a SPARQL path query:
? w o r k wdt : P 9 2 1 /
( wdt : P31 */ wdt : P 2 7 9 *
| wdt : P 3 6 1 + | wdt : P 1 2 6 9 + ) wd : Q 1 8 8 6 3 9 5 3 .
Identify co-occuring topic that is geo-locatable.
? w o r k wdt : P 9 2 1 ? l o c a t i o n .
? l o c a t i o n wdt : P 6 2 5 ? geo .
Geospatial data with Scholia: author
Author aspect: /scho- lia/author/Q20980928
With node coloring controlled by the type of property.
New Scholia aspects: location and country
Geospatial data with Scholia: location
Scholia location as- pect for a Cretian ho- tel:
/location/Q47259960
SPARQL query with the distance function called geof:distance showing nearby acade- mic institutions.
Other panel: Nearby locations as topics in works. Identifies, e.g., Tomb Robbing and the Transformation of Social Memory in Roman Knossos (Grigoropulous, 2004) as an article with a nearby topic.
Geospatial data with Scholia: location
SPARQL query for identifying nearby academic institutions
# A c a d e m i c i n s t i t u t i o n
V A L U E S ? u n i v e r s i t y { wd : Q 3 9 1 8 wd : Q 1 3 7 1 0 3 7 wd : Q 7 3 1 5 1 5 5 wd : Q 3 1 8 5 5 }
...
# F i n d i n d i v i d u a l u n i v e r s i t i e s and d e p a r t m e n t s
# and the g e o c o o r d i n a t e
? o r g a n i z a t i o n wdt : P 3 6 1 * / wdt : P31 / wdt : P 2 7 9 * ? u n i v e r s i t y .
? o r g a n i z a t i o n wdt : P 6 2 5 ? o t h e r _ g e o . ...
# C o m p u t e d i s t a n c e b e t w e e n a c a d e m i c i n s t i t u t i o n
# and the q u e r y l o c a t i o n
wd : Q 4 7 2 5 9 9 6 0 wdt : P 6 2 5 ? geo .
B I N D ( g e o f : d i s t a n c e (? o t h e r _ g e o , ? geo ) AS ? d i s t a n c e ) F I L T E R (? d i s t a n c e < 2 5 0 )
...
O R D E R BY ? d i s t a n c e
Countries in Scholia
Map in Scholia with international collab- orators of authors based in the Nether- lands: /scholia/coun- try/Q55
Other map panels for the country aspect display narrative lo- cations within works and location as top- ics in works.
User stories
User story: Finnish machine learning
You are to review research applications from Finland about machine learn- ing and related research fields. You are based outside Finland and would like to get an overview of Finnish researchers and research organizations in that research area, their works as well as their collaboration and citation patterns.
User story: Finnish machine learning
One of the panels on the Finnish machine learning country–topic aspect page with display of the co-author graph.
Using item links between researchers, affiliation and country to identify Finnish researchers with no need for query on geocoordinate data.
Combination of country and topic: /scholia/country/Q33/topic/Q2539
User story: Wikipedia researchers in T¨ ubingen
You are a researcher interested in Wikipedia research and planning a visit to T¨ubingen where you would like to meet other Wikipedia researchers.
User story: Wikipedia researchers in T¨ ubingen
Combination of location and topic: /scholia/location/Q3806/topic/Q52.
( SUM (? t o p i c _ s c o r e ) * MAX (? i n v e r s e _ d i s t a n c e ) AS ? s c o r e ) ...
? w o r k wdt : P 9 2 1 / wdt : P 2 7 9 * wd : Q52 . B I N D (3 AS ? t o p i c _ s c o r e ) } U N I O N { ? a u t h o r wdt : P 1 0 1 wd : Q52 . B I N D (20 AS ? t o p i c _ s c o r e ) }
User story: conference hunter
You are going to The Web Conference in April 2018 in Lyon. You want to know if there is any other relevant scientific meeting in the local area at that time, preferably just before or just after the conference.
User story: conference hunter
Related events panel for The Web Conference 2018 in Scholia.
User story: conference hunter
Event aspect for The Web Conference 2018: /scholia/event/Q48910401 where the SPARQL query combines inverse distance and inverse time separation:
B I N D (20 / (1 + ABS (? day - ? d a y 0 )) AS ? t i m e _ s c o r e _ ) ...
# i n v e r s e d i s t a n c e
B I N D ( ( 2 0 0 / (1 + g e o f : d i s t a n c e (? geo , ? g e o 0 ))) AS
? i n v e r s e _ d i s t a n c e ) ...
B I N D ((? t i m e _ s c o r e _ * ? l o c a t i o n _ s c o r e _ ) AS ? s c o r e _ ) ...
O R D E R BY D E S C (? s c o r e )
Summary
Large amount of geospatial data in Wikidata, including geospatial data tied to scientific items (articles, researchers, organizations).
. . . and continuous expansion of the data.
WDQS makes it easy to create maps of the data in Wikidata.
Scholia uses the capabilities of WDQS to render maps and compute dis- tances for a range of different scholar-associated data.
References
Grigoropulous, D. (2004). Tomb Robbing and the Transformation of Social Memory in Roman Knossos.
pages 62–77.
Copyright and license
OpenStreetMap maps are Map c OpenStreetMap contributors. CC BY- SA 2.0.
Wikidata logo by Arun Ganesh (Planemad). It is a trademark of the Wikimedia Foundation.
Wikishootme is the work of Magnus Manske.
