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Towards Analytics Aware Ontology Based Access to Static and Streaming Data

  • Evgeny Kharlamov
  • Yannis Kotidis
  • Theofilos Mailis
  • Christian Neuenstadt
  • Charalampos Nikolaou
  • Özgür Özçep
  • Christoforos Svingos
  • Dmitriy Zheleznyakov
  • Sebastian Brandt
  • Ian Horrocks
  • Yannis Ioannidis
  • Steffen Lamparter
  • Ralf Möller
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9982)

Abstract

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.

Keywords

Analytical Task Streaming Data Conjunctive Query Data Query Continuous Query 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Evgeny Kharlamov
    • 1
  • Yannis Kotidis
    • 2
  • Theofilos Mailis
    • 3
  • Christian Neuenstadt
    • 4
  • Charalampos Nikolaou
    • 1
  • Özgür Özçep
    • 4
  • Christoforos Svingos
    • 3
  • Dmitriy Zheleznyakov
    • 1
  • Sebastian Brandt
    • 5
  • Ian Horrocks
    • 1
  • Yannis Ioannidis
    • 3
  • Steffen Lamparter
    • 5
  • Ralf Möller
    • 4
  1. 1.University of OxfordOxfordUK
  2. 2.Athens University of Economics and BusinessAthensGreece
  3. 3.University of AthensAthensGreece
  4. 4.University of LübeckLübeckGermany
  5. 5.Siemens Corporate TechnologyMunichGermany

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