Submissions

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, with a selection of the best papers of each ESWC workshop appearing in an additional volume edited by Springer. 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

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. Papers must be submitted online via EasyChair.