Addressing Streaming and Historical Data in OBDA Systems: Optique's Approach

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 behavior in wells. This paper brings up importance of both streaming and historical (temporal) data in the Big Data challenge for industries. The authors 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.

Provided by: University of Asmara Topic: Data Management Date Added: Apr 2013 Format: PDF

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