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Ontology-based integration of streaming and static relational data with optique

Abstract:

Real-time processing of data coming from multiple heterogeneous data streams and static databases is a typical task in many industrial scenarios such as diagnostics of large machines. A complex diagnostic task may require a collection of up to hundreds of queries over such data. Although many of these queries retrieve data of the same kind, such as temperature measurements, they access structurally different data sources. In this work we show how Semantic Technologies implemented in our syste...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Publisher copy:
10.1145/2882903.2899385

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Department:
Oxford, MPLS, Computer Science
Role:
Author
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Department:
Oxford, MPLS, Computer Science
Role:
Author
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Grant:
Optique (FP7-IP-318338)
Royal Society More from this funder
Publisher:
Association for Computing Machinery Publisher's website
Pages:
2109-2112
Publication date:
2016-06-26
DOI:
ISSN:
0730-8078
Pubs id:
pubs:637535
URN:
uri:638fbf09-7e57-4af4-b353-483feba1d90e
UUID:
638fbf09-7e57-4af4-b353-483feba1d90e
Local pid:
pubs:637535
ISBN:
9781450335317

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