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Dissemination

  • LarKC is sponsoring following international scientific events:
  • 10th International Semantic Web Conference (ISWC 2011) 10th International Semantic Web Conference (ISWC 2011) 10th International Semantic Web Conference (ISWC 2011)
  • ESCoP Summer School in Computational and Mathematical Modeling of Cognition ESCoP Summer School in Computational and Mathematical Modeling of Cognition ESCoP Summer School in Computational and Mathematical Modeling of Cognition
  • ODaF Europe 2010 ODaF Europe 2010: Semantic Statistics ODaF Europe 2010: Semantic Statistics
  • International Conference on Knowledge Engineering and Knowledge Management (EKAW 2010) International Conference on Knowledge Engineering and Knowledge Management (EKAW 2010) International Conference on Knowledge Engineering and Knowledge Management (EKAW 2010)
  • Extended Semantic Web Conference 2010 (ESWC 2010) Extended Semantic Web Conference 2010 (ESWC 2010) Extended Semantic Web Conference 2010 (ESWC 2010)
  • 3rd International Conference on Web Reasoning and Rule Systems (RR 2009) 3rd International Conference on Web Reasoning and Rule Systems (RR 2009) 3rd International Conference on Web Reasoning and Rule Systems (RR 2009)
  • 8th International Semantic Web Conference (ISWC 2009) 8th International Semantic Web Conference (ISWC 2009) 8th International Semantic Web Conference (ISWC 2009)
  • European Semantic Web Conference (ESWC 2009) European Semantic Web Conference (ESWC 2009) European Semantic Web Conference (ESWC 2009)

Download of LarKC D3.1 Survey of relevant literature on abstraction and learning

The first part of this report explores the challenges for machine learning on the Semantic Web, and the opportunities generated by these challenges.

The second part of the report looks at opportunities for stream-reasoning in Semantic Web use-cases. It proposes a continuous query language for the Semantic Web (named C-SPARQL). Such continuous query language extends SPARQL with data streams, aggregation operators, and a continuous semantics.

FOCUS GROUP:
First part:

  • Researchers in Machine Learning with an interest in Semantic
    Web opportunities.

Second part:

  • Researchers in (streaming) Database-technology with an interest in
    Semantic Web opportunities,
  • developers of RDF technology, with an interest to dealing with
    streaming data