October 22, 2021

Spanish Data in DBpedia Grows After Mapping Marathon

From the Facultad de Informática at the Universidad Politécnica de Madrid:

Spanish edition of DBpedia mushrooms from just four to over 100 types of mapped infoboxes and from 20,000 to over 400,000 mapped pages

On 3 and 4 November last, the Spanish Linked Data Thematic Network, led by Oscar Corcho of the Ontology Engineering Group, organized a Spanish Wikipedia mapping description creation marathon to generate data for the Spanish edition of DBpedia. This marathon was organized by Mariano Rico, Spanish language leader on the DBpedia internationalization committee.

This activity is part of the world “language race” to create different language editions of DBpedia. Fifteen people from public and private institutions (Universidad Politécnica de Madrid, iSOCO, Universidad Autónoma de Madrid) as well as private persons participated in the event.

The marathon was an out-and-out success, resulting in an unbelievable increase in the information available in the Spanish edition of DBpedia. The types of mapped infoboxes have grown from just four to over 100, and the number of mapped pages from 20,000 to over 400,000.

The updated data, and the daily updated language comparison is available on the Internet.

Spanish data growth

The volume of Spanish data in the DBpedia has climbed nine (out of 15) rungs of the mappings ladder, and Spanish is now one of the top three languages, occupying a position equivalent to its Wikipedia ranking (in terms of number of entries).

Read the Complete Report

See Also: Learn More About DBpedia (in English)

About Gary Price

Gary Price (gprice@mediasourceinc.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. Before launching INFOdocket, Price and Shirl Kennedy were the founders and senior editors at ResourceShelf and DocuTicker for 10 years. From 2006-2009 he was Director of Online Information Services at Ask.com, and is currently a contributing editor at Search Engine Land.

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