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Item type:Publication, Access status: without files , Addressing streaming and historical data in OBDA systems : optique's approach (statement of interest)(RWTH Aachen, 2013-05); ; ; ; 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.Publicationtype: Conference Paper44 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , The optique project : towards OBDA systems for industry(RWTH Aachen, 2013-05); ; ; ; In this paper we present the EU Optique project that aims at developing an end-to-end OBDA system for managing Big Data in industries. We discuss limitations of state of the art OBDA systems and present the general architecture of the Optique's OBDA system that aims at overcoming these limitations.Publicationtype: Conference Paper67