Abstract
In large companies such as Siemens and Statoil monitoring tasks are
of great importance, e.g., Siemens does monitoring of turbines and Statoil of oil
behaviour in wells. This tasks bring up importance of both streaming and historical (temporal) data in the Big Data challenge for industries. We present the
Optique project that addresses this problem by developing an Ontology Based
Data Access (OBDA) system that incorporates novel tools and methodologies for
processing and analyses of temporal and streaming data. In particular, we advocate for modelling time time aware data by temporal RDF and reduce monitoring
tasks to knowledge discovery and data mining.
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