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An Ontology-Mediated Analytics-Aware Approach to Support Monitoring and Diagnostics of Static and Streaming Data

33 Pages Posted: 14 Jan 2019 First Look: Accepted

See all articles by Evgeny Kharlamov

Evgeny Kharlamov

University of Oxford - Information Systems Group

Yannis Kotidis

Athens University of Economics and Business

Theofilos Mailis

National and Kapodistrian University of Athens

Christian Neuenstadt

University of Lubeck

Charalampos Nikolaou

National and Kapodistrian University of Athens - Department of Informatics and Telecommunications

Ozgur Ozcep

University of Lubeck

Christoforos Christoforos Svingos

National and Kapodistrian University of Athens

Dmitriy Zheleznyakov

Ocado Technology

Yannis Ioannidis

National and Kapodistrian University of Athens - Department of Informatics and Telecommunications

Steffen Lamparter

Siemens Corporate Technology

Ralf Moller

University of Lubeck

Abstract

Streaming analytics that requires integration and aggregation of heterogeneous and distributed streaming and static data is a typical task in many industrial scenarios including the case of industrial IoT where several pieces of industrial equipment such as turbines in Siemens are integrated into an IoT. The 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. We argue that a way to overcome those limitations is to extend OBDA to 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: Ontology Based Data Access, Data Integration, IoT, Streaming Data, Static Data, Optimisations, Siemens

Suggested Citation

Kharlamov, Evgeny and Kotidis, Yannis and Mailis, Theofilos and Neuenstadt, Christian and Nikolaou, Charalampos and Ozcep, Ozgur and Christoforos Svingos, Christoforos and Zheleznyakov, Dmitriy and Ioannidis, Yannis and Lamparter, Steffen and Moller, Ralf, An Ontology-Mediated Analytics-Aware Approach to Support Monitoring and Diagnostics of Static and Streaming Data (January 10, 2019). Available at SSRN: https://ssrn.com/abstract=3313406 or http://dx.doi.org/10.2139/ssrn.3313406

Evgeny Kharlamov (Contact Author)

University of Oxford - Information Systems Group ( email )

Wolfson Building
Parks Road
Oxford
United Kingdom

Yannis Kotidis

Athens University of Economics and Business ( email )

76 Patission Street
Athens, 104 34
Greece

Theofilos Mailis

National and Kapodistrian University of Athens ( email )

5 Stadiou Strt
Athens, 12131
Greece

Christian Neuenstadt

University of Lubeck ( email )

Germany

Charalampos Nikolaou

National and Kapodistrian University of Athens - Department of Informatics and Telecommunications ( email )

Panepistimiopolis
Ilisia
Athens, GR15784
Greece

Ozgur Ozcep

University of Lubeck ( email )

Germany

Christoforos Christoforos Svingos

National and Kapodistrian University of Athens ( email )

5 Stadiou Strt
Athens, 12131
Greece

Dmitriy Zheleznyakov

Ocado Technology ( email )

Hatfield AL10 9UL
United Kingdom

Yannis Ioannidis

National and Kapodistrian University of Athens - Department of Informatics and Telecommunications ( email )

Panepistimiopolis
Ilisia
Athens, GR15784
Greece

Steffen Lamparter

Siemens Corporate Technology ( email )

Siemens AG
Otto-Hahn-Ring 6
Munich, 81739
Germany

Ralf Moller

University of Lubeck ( email )

Germany

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