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Stream Reasoning 2016
D. Dell'Aglio, E. Della Valle, T. Eiter and
M. Krötzsch
http://streamreasoning.org/events/sr2016
Report on SR2016
Daniele Dell’Aglio
dellaglio@ifi.uzh.ch http://dellaglio.org @dandellaglio
http://streamreasoning.org/events/sr2016
Heterogeneity in RSP engines
 We have several RDF Stream Processing engines
• C-SPARQL, CQELS, SPARQLstream, EP-SPARQL...
 Heterogeneity in
• Languages
• Features
• Query models
 Challenge 1: interoperability and comparison
• R. Keskisärkkä: Query Templates for RDF Stream Processing
• X. Ren, H. Khrouf, Z. Kazi-Aoul, Y. Chabchoub and O. Cure:
On measuring performances of C-SPARQL and CQELS
2
http://streamreasoning.org/events/sr2016
Stream Reasoning techniques
 Can we exploit the semantics in the stream to
improve the processing?
• Window management
• Maintenance
 Challenge 2: Techniques and methods for Stream
Reasoning
• J. Z. Pan (invited speaker): The Maze of Deletion in Stream
Reasoning
• R. Yan, M. T. Greaves, W. P. Smith and D. L. McGuinness:
Remembering the Important Things: Semantic Importance in
Stream Reasoning
3
http://streamreasoning.org/events/sr2016
Stream Reasoning in applications
 SR starts to be mature to be used in real use cases
 However, new challenges are emerging
• Modelling
• Noise
• Algorithms and scalability
 Challenge 3: SR in real settings
• F. Lecue (invited speaker): Ontology Stream Reasoning for
Diagnosis and Predictive Inference
• P. Schneider, J. Parreira and T. Eiter: Towards Spatial
Ontology-Mediated Query Answering over Mobility Streams
• H. Khrouf, B. Belabbess, L. Bihanic, G. Kepeklian and O.
Curé: WAVES: Big Data Platform for Real-time RDF Stream
Processing
4

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Summary of the Stream Reasoning workshop at ISWC 2016

  • 1. Stream Reasoning 2016 D. Dell'Aglio, E. Della Valle, T. Eiter and M. Krötzsch http://streamreasoning.org/events/sr2016 Report on SR2016 Daniele Dell’Aglio dellaglio@ifi.uzh.ch http://dellaglio.org @dandellaglio
  • 2. http://streamreasoning.org/events/sr2016 Heterogeneity in RSP engines  We have several RDF Stream Processing engines • C-SPARQL, CQELS, SPARQLstream, EP-SPARQL...  Heterogeneity in • Languages • Features • Query models  Challenge 1: interoperability and comparison • R. Keskisärkkä: Query Templates for RDF Stream Processing • X. Ren, H. Khrouf, Z. Kazi-Aoul, Y. Chabchoub and O. Cure: On measuring performances of C-SPARQL and CQELS 2
  • 3. http://streamreasoning.org/events/sr2016 Stream Reasoning techniques  Can we exploit the semantics in the stream to improve the processing? • Window management • Maintenance  Challenge 2: Techniques and methods for Stream Reasoning • J. Z. Pan (invited speaker): The Maze of Deletion in Stream Reasoning • R. Yan, M. T. Greaves, W. P. Smith and D. L. McGuinness: Remembering the Important Things: Semantic Importance in Stream Reasoning 3
  • 4. http://streamreasoning.org/events/sr2016 Stream Reasoning in applications  SR starts to be mature to be used in real use cases  However, new challenges are emerging • Modelling • Noise • Algorithms and scalability  Challenge 3: SR in real settings • F. Lecue (invited speaker): Ontology Stream Reasoning for Diagnosis and Predictive Inference • P. Schneider, J. Parreira and T. Eiter: Towards Spatial Ontology-Mediated Query Answering over Mobility Streams • H. Khrouf, B. Belabbess, L. Bihanic, G. Kepeklian and O. Curé: WAVES: Big Data Platform for Real-time RDF Stream Processing 4