Lessons Learned — The Case of CROCUS: Cluster-Based Ontology Data Cleansing

  • Didier Cherix
  • Ricardo Usbeck
  • Andreas Both
  • Jens Lehmann
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8798)


Over the past years, a vast number of datasets have been published based on Semantic Web standards, which provides an opportunity for creating novel industrial applications. However, industrial requirements on data quality are high while the time to market as well as the required costs for data preparation have to be kept low. Unfortunately, many Linked Data sources are error-prone which prevents their direct use in productive systems. Hence, (semi-)automatic quality assurance processes are needed as manual ontology repair procedures by domain experts are expensive and time consuming. In this article, we present CROCUS – a pipeline for cluster-based ontology data cleansing. Our system provides a semi-automatic approach for instance-level error detection in ontologies which is agnostic of the underlying Linked Data knowledge base and works at very low costs. CROCUS has been evaluated on two datasets. The experiments show that we are able to detect errors with high recall. Furthermore, we provide an exhaustive related work as well as a number of lessons learned.


Domain Expert Error Type Link Data Link Open Data Blank Node 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This work has been partly supported by the ESF and the Free State of Saxony and by grants from the European Union’s 7th Framework Programme provided for the project GeoKnow (GA no. 318159). Sincere thanks to Christiane Lemke


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Didier Cherix
    • 2
  • Ricardo Usbeck
    • 1
    • 2
  • Andreas Both
    • 2
  • Jens Lehmann
    • 1
  1. 1.University of LeipzigLeipzigGermany
  2. 2.R & DUnister GmbHLeipzigGermany

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