<div class="csl-bib-body">
<div class="csl-entry">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.), <i>Knowledge Engineering and Knowledge Management</i> (pp. 145–162). Springer. https://doi.org/10.1007/978-3-319-49004-5_10</div>
</div>
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dc.identifier.isbn
9783319490038
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dc.identifier.isbn
9783319490045
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/56814
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dc.description.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.
en
dc.language.iso
en
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dc.relation.ispartofseries
Lecture Notes in Computer Science
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dc.title
A Query Model to Capture Event Pattern Matching in RDF Stream Processing Query Languages
en
dc.type
Konferenzbeitrag
de
dc.type
Inproceedings
en
dc.relation.publication
Knowledge Engineering and Knowledge Management
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dc.contributor.editoraffiliation
Interporto Bologna (Italy), Italy
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dc.relation.isbn
978-3-319-49003-8
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dc.relation.doi
10.1007/978-3-319-49004-5
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dc.relation.issn
0302-9743
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dc.description.startpage
145
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dc.description.endpage
162
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dc.type.category
Full-Paper Contribution
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dc.relation.eissn
1611-3349
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tuw.booktitle
Knowledge Engineering and Knowledge Management
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tuw.peerreviewed
true
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tuw.relation.publisher
Springer
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tuw.relation.publisherplace
Cham
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tuw.book.chapter
10
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tuw.researchTopic.id
I1
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tuw.researchTopic.name
Logic and Computation
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E192-03 - Forschungsbereich Knowledge Based Systems
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tuw.publisher.doi
10.1007/978-3-319-49004-5_10
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dc.description.numberOfPages
18
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tuw.editor.orcid
0000-0002-7958-9924
-
tuw.editor.orcid
0000-0002-7562-5203
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tuw.event.name
20th International Conference on Knowledge Engineering and Knowledge Management (EKAW)
