The document introduces 'cool-wd', a tool designed for managing completeness information in Wikidata, which helps users determine which data is complete. It highlights the significance of completeness in knowledge bases, especially for increasing user trust and guiding editor focus. The tool currently hosts over 10,000 completeness statements that aid various applications, including query soundness checking.

1. COOL-WD: A Completeness Tool for Wikidata
Fariz Darari, Radityo Eko Prasojo, Simon Razniewski, Werner Nutt
1. Complete data is the new gold!
• Knowledge bases such as Wikidata have
no way of annotating that data is complete
• Consumers may lack trust in data
• Especially relevant for aggregate and negation queries
• “Number of lakes in Zurich”  Is the result correct?
• Editors may not know where to focus
their efforts
• Not clear where data still needs to be added
• “Should one work on Dijkstra prize winners,
on states of Austria, or on lakes in Zurich?”
5. Related publications
• Predicting Completeness in Knowledge Bases.,
L. Galárraga, S. Razniewski, A. Amarilli, F.M. Suchanek, WSDM 2017
• Enabling Fine-Grained RDF Data Completeness Assessment?, F.
Darari, S. Razniewski, R.E. Prasojo, W. Nutt, ICWE 2016
• Managing and Consuming Completeness Information for Wikidata
Using COOL-WD, R. E. Prasojo, F. Darari, S. Razniewski, W. Nutt,
COLD workshop at ISWC 2016
2. Theoretical Background
• Completeness statements have been
proposed as a way to model complete
information [Darari et al., ISWC'13, ICWE'16]
• Assert that for a certain topic,
the knowledge base contains
all true information
• “Complete for districts of Zurich”  All 12
Districts are listed in Wikidata!
3. COOL-WD
• A tool for managing completeness information
for Wikidata
• Allows to assert completeness of predicates
of Wikidata entities
• A user script allows completeness management
directly from Wikidata pages
4. Usage
• COOL-WD contains currently over 10,000
completeness statements
• Completeness statements are used in other
applications including rule mining and
query soundness checking
Visit COOL-WD at http://cool-wd.inf.unibz.it
• Completeness of entities and topics
can be tracked
• SPARQL queries can be analyzed wrt.
the completeness of their results
Annotating complete data lets KB editors and users
know which data is already gold!
So far only a theory construct..
SELECT * WHERE { wd:Q72 wdt:P150 ?district }
// CODE SNIPPET: API request to color property boxes according to their completeness status
$.getJSON( 'https://cool-wd.inf.unibz.it/corner_wd/gadget?callback=?', 'entityId='+entityId, function ( result
) {
...
completeProperties.push("P" + result[i].propertyId);
...
// for every property, do
$( '.wikibase-statementgroupview-property' ).each( function() {
...
// set color
if( $.inArray(propertyId, completeProperties) > -1 ) // if complete then
$this.css( "background-color", colorComplete );
else
$this.css( "background-color", colorIncomplete );
.
.
.