Submissions have to be formatted according to the Springer LNCS guidelines. We welcome both full papers (max 12 pages) as well as work-in-progress and position papers (max 6 pages). Accepted papers will be published online via CEUR-WS. Papers must be submitted online via EasyChair.

Topics of interest include data mining and knowledge discovery methods for generating and processing, or using linked data, such as

  • Automatic link discovery
  • Event detection and pattern discovery
  • Frequent pattern analysis
  • Graph mining
  • Knowledge base debugging, cleaning and repair
  • Large-scale information extraction
  • Learning and refinement of ontologies
  • Modeling provenance information
  • Ontology matching and object reconciliation
  • Scalable machine learning
  • Statistical relational learning
  • Text and web mining
  • Usage mining

In order for accepted papers to appear in the workshop proceedings, at least one of the authors must register for both the main conference and the workshop. A selection of the best papers of each ESWC workshops will be included in an additional volume edited by Springer.