International Semantic Web Conference

The Semantic Web - ISWC 2015 pp 133-149 | Cite as

Assessing and Refining Mappingsto RDF to Improve Dataset Quality

  • Anastasia Dimou
  • Dimitris Kontokostas
  • Markus Freudenberg
  • Ruben Verborgh
  • Jens Lehmann
  • Erik Mannens
  • Sebastian Hellmann
  • Rik Van de Walle
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9367)

Abstract

rdf dataset quality assessment is currently performed primarily after data is published. However, there is neither a systematic way to incorporate its results into the dataset nor the assessment into the publishing workflow. Adjustments are manually –but rarely– applied. Nevertheless, the root of the violations which often derive from the mappings that specify how the rdf dataset will be generated, is not identified. We suggest an incremental, iterative and uniform validation workflow for rdf datasets stemming originally from (semi-)structured data (e.g., csv, xml, json). In this work, we focus on assessing and improving their mappings. We incorporate (i) a test-driven approach for assessing the mappings instead of the rdf dataset itself, as mappings reflect how the dataset will be formed when generated; and (ii) perform semi-automatic mapping refinementsbased on the results of the quality assessment. The proposed workflow is applied to diverse cases, e.g., large, crowdsourced datasets such as dbpedia, or newly generated, such as iLastic. Our evaluation indicates the efficiency of our workflow, as it significantly improves the overall quality of an rdf dataset in the observed cases.

Keywords

Linked data mapping Data quality rml r2rml rdfunit 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Anastasia Dimou
    • 1
  • Dimitris Kontokostas
    • 2
  • Markus Freudenberg
    • 2
  • Ruben Verborgh
    • 1
  • Jens Lehmann
    • 2
  • Erik Mannens
    • 1
  • Sebastian Hellmann
    • 2
  • Rik Van de Walle
    • 1
  1. 1.iMinds - Multimedia LabGhent UniversityGhentBelgium
  2. 2.Institut Fur Informatik, AKSWUniversitat LeipzigLeipzigGermany

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