Demo: Enabling semantic access to static and streaming distributed data with optique
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 the...
Main Authors: | Kharlamov, E, Brandt, S, Giese, M, Jiménez-Ruiz, E, Kotidis, Y, Lamparter, S, Mailis, T, Neuenstadt, C, Özçep, Pinkel, C, Soylu, A, Svingos, C, Zheleznyakov, D, Horrocks, I, Ioannidis, Y, Möller, R, Waaler, A |
---|---|
Format: | Conference item |
Published: |
Association for Computing Machinery
2016
|
Similar Items
-
Ontology-based integration of streaming and static relational data with optique
by: Kharlamov, E, et al.
Published: (2016) -
An ontology-mediated analytics-aware approach to support monitoring and diagnostics of static and streaming data
by: Kharlamov, E, et al.
Published: (2019) -
Towards analytics aware ontology based access to static and streaming data
by: Kharlamov, E, et al.
Published: (2016) -
Towards analytics aware ontology based access to static and streaming data (extended version)
by: Kharlamov, E, et al.
Published: (2016) -
Semantic access to streaming and static data at Siemens
by: Kharlamov, E, et al.
Published: (2017)