Continuously adaptive continuous queries over streams
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Knowledge Representation, Reasoning, and Declarative Problem Solving
Knowledge Representation, Reasoning, and Declarative Problem Solving
The 8 requirements of real-time stream processing
ACM SIGMOD Record
Monitoring streams: a new class of data management applications
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
A First Step Towards Stream Reasoning
Future Internet --- FIS 2008
It's a Streaming World! Reasoning upon Rapidly Changing Information
IEEE Intelligent Systems
An execution environment for C-SPARQL queries
Proceedings of the 13th International Conference on Extending Database Technology
Querying RDF streams with C-SPARQL
ACM SIGMOD Record
A rule-based language for complex event processing and reasoning
RR'10 Proceedings of the Fourth international conference on Web reasoning and rule systems
EP-SPARQL: a unified language for event processing and stream reasoning
Proceedings of the 20th international conference on World wide web
Answer set programming for stream reasoning
Canadian AI'11 Proceedings of the 24th Canadian conference on Advances in artificial intelligence
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
Sparkwave: continuous schema-enhanced pattern matching over RDF data streams
Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems
Fusion of background knowledge and streams of events
Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems
Linked stream data processing engines: facts and figures
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part II
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Stream reasoning is an emerging research field focused on dynamic processing and continuous reasoning over huge volumes of streaming data. Finding the right trade-off between scalability and expressivity is a key challenge in this area. In this paper, we want to provide a baseline for exploring the applicability of complex reasoning to the Web of Data based on a solution that combines results and approaches from database research, stream processing, and nonmonotonic logic programming.