Paper Info
Title
A Query Model to Capture Event Pattern Matching in RDF Stream Processing Query Languages.
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.
Year
DOI
Venue
2016
10.1007/978-3-319-49004-5_10
EKAW
Field
DocType
Volume
Data mining,Web search query,Data stream management system,Query language,Computer science,Semantic Web,Complex event processing,Timestamp,Operator (computer programming),Pattern matching
Conference
10024
ISSN
Citations 
PageRank 
0302-9743
3
0.38
References 
Authors
16
5
Name
Order
Citations
PageRank
Daniele Dell'Aglio122527.43
Minh Dao-Tran239520.39
Jean-Paul Calbimonte340833.62
Danh Le Phuoc464831.01
Emanuele Della Valle51207100.12