Towards analytics aware ontology based access to static and streaming data (extended version)
Real-time analytics that requires integration and aggregation of heterogeneous and distributed streaming and static data is a typical task in many industrial scenarios such as diagnostics of turbines in Siemens. OBDA approach has a great potential to facilitate such tasks; however, it has a number o...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Journal article |
| Published: |
2016
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| _version_ | 1826279063952556032 |
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| author | Kharlamov, E Kotidis, Y Mailis, T Neuenstadt, C Nikolaou, C Özçep, Ö Svingos, C Zheleznyakov, D Lamparter, S Horrocks, I Ioannidis, Y Möller, R |
| author_facet | Kharlamov, E Kotidis, Y Mailis, T Neuenstadt, C Nikolaou, C Özçep, Ö Svingos, C Zheleznyakov, D Lamparter, S Horrocks, I Ioannidis, Y Möller, R |
| author_sort | Kharlamov, E |
| collection | OXFORD |
| description | Real-time analytics that requires integration and aggregation of heterogeneous and distributed streaming and static data is a typical task in many industrial scenarios such as diagnostics of turbines in Siemens. OBDA approach has a great potential to facilitate such tasks; however, it has a number of limitations in dealing with analytics that restrict its use in important industrial applications. Based on our experience with Siemens, we argue that in order to overcome those limitations OBDA should be extended and become analytics, source, and cost aware. In this work we propose such an extension. In particular, we propose an ontology, mapping, and query language for OBDA, where aggregate and other analytical functions are first class citizens. Moreover, we develop query optimisation techniques that allow to efficiently process analytical tasks over static and streaming data. We implement our approach in a system and evaluate our system with Siemens turbine data. |
| first_indexed | 2024-03-06T23:53:14Z |
| format | Journal article |
| id | oxford-uuid:7356422c-8358-486b-b6e0-6d561d779e19 |
| institution | University of Oxford |
| last_indexed | 2024-03-06T23:53:14Z |
| publishDate | 2016 |
| record_format | dspace |
| spelling | oxford-uuid:7356422c-8358-486b-b6e0-6d561d779e192022-03-26T19:55:48ZTowards analytics aware ontology based access to static and streaming data (extended version)Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:7356422c-8358-486b-b6e0-6d561d779e19Symplectic Elements at Oxford2016Kharlamov, EKotidis, YMailis, TNeuenstadt, CNikolaou, CÖzçep, ÖSvingos, CZheleznyakov, DLamparter, SHorrocks, IIoannidis, YMöller, RReal-time analytics that requires integration and aggregation of heterogeneous and distributed streaming and static data is a typical task in many industrial scenarios such as diagnostics of turbines in Siemens. OBDA approach has a great potential to facilitate such tasks; however, it has a number of limitations in dealing with analytics that restrict its use in important industrial applications. Based on our experience with Siemens, we argue that in order to overcome those limitations OBDA should be extended and become analytics, source, and cost aware. In this work we propose such an extension. In particular, we propose an ontology, mapping, and query language for OBDA, where aggregate and other analytical functions are first class citizens. Moreover, we develop query optimisation techniques that allow to efficiently process analytical tasks over static and streaming data. We implement our approach in a system and evaluate our system with Siemens turbine data. |
| spellingShingle | Kharlamov, E Kotidis, Y Mailis, T Neuenstadt, C Nikolaou, C Özçep, Ö Svingos, C Zheleznyakov, D Lamparter, S Horrocks, I Ioannidis, Y Möller, R Towards analytics aware ontology based access to static and streaming data (extended version) |
| title | Towards analytics aware ontology based access to static and streaming data (extended version) |
| title_full | Towards analytics aware ontology based access to static and streaming data (extended version) |
| title_fullStr | Towards analytics aware ontology based access to static and streaming data (extended version) |
| title_full_unstemmed | Towards analytics aware ontology based access to static and streaming data (extended version) |
| title_short | Towards analytics aware ontology based access to static and streaming data (extended version) |
| title_sort | towards analytics aware ontology based access to static and streaming data extended version |
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