An execution environment for C-SPARQL queries
Proceedings of the 13th International Conference on Extending Database Technology
Event Processing in Action
EP-SPARQL: a unified language for event processing and stream reasoning
Proceedings of the 20th international conference on World wide web
A native and adaptive approach for unified processing of linked streams and linked data
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
Efficient matching of SPARQL subscriptions using rete
Proceedings of the 27th Annual ACM Symposium on Applied Computing
IncQuery-D: incremental graph search in the cloud
Proceedings of the Workshop on Scalability in Model Driven Engineering
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Complex event processing is currently done primarily with proprietary definition languages. Future smart environments will require collaboration of multi-platform sensors operated by multiple parties. The goal of my research is to verify the applicability of standard-compliant SPARQL for complex event processing tasks. If successful, semantic web standards RDF, SPARQL and OWL with their established base of tools have many other benefits for event processing including support for interconnecting disjoint vocabularies, enriching event information with linked open data and reasoning over semantically annotated content. A software platform capable of continuous incremental evaluation of multiple parallel SPARQL queries is a key enabler of the approach.