Semantic Access to Siemens Streaming Data: the Optique Way
نویسندگان
چکیده
Integration, access, and analyses of streaming data plays an important role in predictive and reactive diagnostics of turbines and other large appliances in Siemens Energy. In this demo we will show how semantic technologies implemented in the ontology-based data access platform OPTIQUE can help in enhancing these tasks. We will demonstrate how to deploy our platform over relational streams, register continuous queries, and perform monitoring via a devoted dashboard. For this purpose we will use an anonymised version of streaming data gathered from 200 gas and steam turbines between 2002 and 2011.
منابع مشابه
Scalable Semantic Access to Siemens Static and Streaming Distributed Data
Numerous analytical tasks in industry rely on data integration solutions since they require data from multiple static and streaming data sources. In the context of the Optique project we have investigated how Semantic Technologies can enhance data integration and thus facilitate further data analysis. We introduced the notion Ontology-Based Stream-Static Data Integration and developed the syste...
متن کاملHow Semantic Technologies Can Enhance Data Access at Siemens Energy
We present a description and analysis of the data access challenge in the Siemens Energy. We advocate for Ontology Based Data Access (OBDA) as a suitable Semantic Web driven technology to address the challenge. We derive requirements for applying OBDA in Siemens, review existing OBDA systems and discuss their limitations with respect to the Siemens requirements. We then introduce the Optique pl...
متن کاملAddressing 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 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 (O...
متن کاملDeliverable D 5 . 1 A Semantics for Temporal and Stream - Based
In large companies such as Siemens and Statoil monitoring tasks areof great importance, e.g., Siemens does monitoring of turbines and Statoil of oilbehaviour in wells. This tasks bring up importance of both streaming and his-torical (temporal) data in the Big Data challenge for industries. We present theOptique project that addresses this problem by developing an Ontology Based<...
متن کاملOptique 1.0: Semantic Access to Big Data: The Case of Norwegian Petroleum Directorate's FactPages
The Optique project aims at developing an end-to-end system for semantic data access to Big Data in industries such as Statoil ASA and Siemens AG. In our demonstration we present the first version of the Optique system customised for the Norwegian Petroleum Directorate’s FactPages, a publicly available dataset relevant for engineers at Statoil ASA. The system provides different options, includi...
متن کامل