Record link: 
http://hdl.handle.net/20.500.12708/56814
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Title: 
A Query Model to Capture Event Pattern Matching in RDF Stream Processing Query Languages
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Citation: 
Dell´Aglio, D., Dao-Tran, M., Calbimonte, J.-P., Le Phuoc, D., & Della Valle, E. (2016). A Query Model to Capture Event Pattern Matching in RDF Stream Processing Query Languages. In E. Blomqvist, P. Ciancarini, F. Poggi, & F. Vitali (Eds.), Knowledge Engineering and Knowledge Management (pp. 145–162). Springer. https://doi.org/10.1007/978-3-319-49004-5_10
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Publisher DOI: 
10.1007/978-3-319-49004-5_10
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Dell´Aglio, Daniele 
Dao-Tran, Minh 
Calbimonte, Jean-Paul 
Le Phuoc, Danh 
Della Valle, Emanuele 
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Organisational Unit: 
E192-03 - Forschungsbereich Knowledge Based Systems 
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Published in: 
Knowledge Engineering and Knowledge Management 
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ISBN: 
978-3-319-49003-8
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DOI of the book: 
10.1007/978-3-319-49004-5
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Date (published): 
2016
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Event name: 
20th International Conference on Knowledge Engineering and Knowledge Management (EKAW) 
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Event date: 
19-Nov-2016 - 23-Nov-2016
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Event place: 
Bologna, EU
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Number of Pages: 
18
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Publisher: 
Springer, Cham
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Peer reviewed: 
Yes
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Abstract: 
The current state of the art in RDF Stream Processing (RSP) proposes several models and implementations to combine Semantic Web technologies with Data Stream Management System (DSMS) operators like windows. Meanwhile, only a few solutions combine Semantic Web and Complex Event Processing (CEP), which includes relevant features, such as identifying sequences of events in streams. Current RSP query languages that support CEP features have several limitations: EP- SPARQL can identify sequences, but its selection and consumption policies are not all formally defined, while C-SPARQL offers only a naive support to pattern detection through a timestamp function. In this work, we introduce an RSP query language, called RSEP-QL, which supports both DSMS and CEP operators, with a special interest in formalizing CEP selection and consumption policies. We show that RSEP-QL captures EP-SPARQL and C-SPARQL, and offers features going beyond the ones provided by current RSP query languages.
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Research Areas: 
Logic and Computation: 100%
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Science Branch: 
Informatik
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Appears in Collections:
Conference Paper

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