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.