Properties of DBpediaDQ

  1. Properties
  2. History
  3. Source
  • User-driven quality evaluation of DBpedia
  • dbpediadq
related project
  • As we all know, DBpedia is an important dataset in Linked Data as it is not only connected to and from numerous other datasets, but it also is relied upon for useful information. However, quality problems are inherent in DBpedia be it in terms of incorrectly extracted values or datatype problems since it contains information extracted from crowd-sourced content.

    However, not all the data quality problems are automatically detectable. Thus, we aim at crowd-sourcing the quality assessment of the dataset. In order to perform this assessment, we developed a tool whereby a user can evaluate a random resource by analyzing each triple individually and store the results. Here is the link to the tool:

    If you have any questions or comments, please do not hesitate to contact us at


    • Results :
    • Total no. of users : 58
    • Total no. of distinct resources evaluated : 521
    • Total no. of resources evaluated : 792
    • Total no. of distinct resources without problems : 86
    • Total no. of distinct resources with problems : 435
    • Total no. of distinct incorrect triples : 2928
    • Total no. of distinct incorrect triples in the dbprop namespace : 1745
    • Total no. of inter-evaluations : 268
    • No. of resources with evaluators having different opinions : 89
    • Resource-based inter-rater agreement (Cohen’s Kappa) : 0.34
    • Triple-based inter-rater agreement (Cohen’s Kappa) : 0.38
    • No. of triples evaluated for correctness : 700
    • No. of triples evaluated to be correct : 567
    • No. of triples evaluated incorrectly : 133
    • % of triples correctly evaluated : 81
    • Average no. of problems per resource : 5.69
    • Average no. of problems per resource in the dbprop namespace : 3.45
    • Average no. of triples per resource : 47.19
    • % of triples affected : 11.93
    • % of triples affected in the dbprop namespace : 7.11


  • With the myriad of data sets and use cases available in the LOD cloud, data quality is one of the important concepts to be considered. The DBpedia Data Quality Curation project is aimed at evaluating the quality of the resources present in DBpedia.
  • DBpediaDQ


DBpedia Masterclass @ Connected Data World

Nov 2, 2021 11:17:30 AM | Julia Holze

Dear all, We are proud to announce that we will organize the masterclass “DBpedia Knowledge Graph Tutorial for Beginners” at the Connected Data World event. The masterclass will take place online on December 2, 2021 at 4:15pm CET and it … Continue reading → ...

DBpedia Day @ SEMANTiCS 2021

Jul 30, 2021 9:54:45 AM | Julia Holze

We are happy to announce that we are partnering again with the SEMANTiCS Conference which will host this year’s DBpedia Day on September 9, 2021. The SEMANTiCS is an established knowledge hub which brings together technology professionals, industry experts, and … Continue reading → ...

LDK Conference meets DBpedia in Zaragoza, Spain

Jul 9, 2021 10:37:27 AM | Julia Holze

We are happy to announce that we will organize a DBpedia Tutorial on September 1, 2021 in Zaragoza, Spain. This DBpedia tutorial will be part of the Language, Data and Knowledge conference 2021. Building upon the success of the previous … Continue reading → ...

DBpedia Tutorial @ Knowledge Graph Conference 2021

Apr 9, 2021 1:20:50 PM | Julia Holze

On May 4, 2021 we will organize a tutorial at the Knowledge Graph Conference (KGC) 2021. The tutorial targets existing and potential new users of DBpedia, developers that wish to learn how to replicate DBpedia infrastructure, service providers interested in … Continue reading → ...

DBpedia @ Google Summer of Code program 2021

Mar 15, 2021 9:41:22 AM | Julia Holze

DBpedia, one of InfAI’s community projects, will participate in the Google Summer of Code (GSoC) program for the 10th time. The GsoC program has the goal to bring students from all over the globe into open source software development. In … Continue reading → ...


Knowledge Bases


  1. Local
  2. OpenID