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COOL-WD: A Completeness Tool for Wikidata

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.

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COOL-WD: A Completeness Tool for WikidataFariz Darari, Radityo Eko Prasojo, Simon Razniewski, Werner Nutt1. Complete data is the new gold!• Knowledge bases such as Wikidata haveno 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 focustheir 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 WikidataUsing COOL-WD, R. E. Prasojo, F. Darari, S. Razniewski, W. Nutt,COLD workshop at ISWC 20162. Theoretical Background• Completeness statements have beenproposed as a way to model completeinformation [Darari et al., ISWC'13, ICWE'16]• Assert that for a certain topic,the knowledge base containsall true information• “Complete for districts of Zurich”  All 12Districts are listed in Wikidata!3. COOL-WD• A tool for managing completeness informationfor Wikidata• Allows to assert completeness of predicatesof Wikidata entities• A user script allows completeness managementdirectly from Wikidata pages4. Usage• COOL-WD contains currently over 10,000completeness statements• Completeness statements are used in otherapplications including rule mining andquery soundness checkingVisit COOL-WD at http://cool-wd.inf.unibz.it• Completeness of entities and topicscan be tracked• SPARQL queries can be analyzed wrt.the completeness of their resultsAnnotating complete data lets KB editors and usersknow 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 colorif( $.inArray(propertyId, completeProperties) > -1 ) // if complete then$this.css( "background-color", colorComplete );else$this.css( "background-color", colorIncomplete );...

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COOL-WD: A Completeness Tool for Wikidata

  • 1.
    COOL-WD: A CompletenessTool for WikidataFariz Darari, Radityo Eko Prasojo, Simon Razniewski, Werner Nutt1. Complete data is the new gold!• Knowledge bases such as Wikidata haveno 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 focustheir 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 WikidataUsing COOL-WD, R. E. Prasojo, F. Darari, S. Razniewski, W. Nutt,COLD workshop at ISWC 20162. Theoretical Background• Completeness statements have beenproposed as a way to model completeinformation [Darari et al., ISWC'13, ICWE'16]• Assert that for a certain topic,the knowledge base containsall true information• “Complete for districts of Zurich”  All 12Districts are listed in Wikidata!3. COOL-WD• A tool for managing completeness informationfor Wikidata• Allows to assert completeness of predicatesof Wikidata entities• A user script allows completeness managementdirectly from Wikidata pages4. Usage• COOL-WD contains currently over 10,000completeness statements• Completeness statements are used in otherapplications including rule mining andquery soundness checkingVisit COOL-WD at http://cool-wd.inf.unibz.it• Completeness of entities and topicscan be tracked• SPARQL queries can be analyzed wrt.the completeness of their resultsAnnotating complete data lets KB editors and usersknow 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 colorif( $.inArray(propertyId, completeProperties) > -1 ) // if complete then$this.css( "background-color", colorComplete );else$this.css( "background-color", colorIncomplete );...

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