Semantic access to streaming and static data at Siemens

Evgeny Kharlamov; Theofilos Mailis; Gulnar Mehdi; Christian Neuenstadt; Özgür Özçep; Mikhail Roshchin; Nina Solomakhina; Ahmet Soylu; Christoforos Svingos; Sebastian Brandt; Martin Giese; Yannis Ioannidis; Steffen Lamparter; Ralf Möller; Yannis Kotidis; Arild Waaler

doi:10.1016/j.websem.2017.02.001

Semantic access to streaming and static data at Siemens

Evgeny Kharlamov^*, Theofilos Mailis, Gulnar Mehdi, Christian Neuenstadt, Özgür Özçep, Mikhail Roshchin, Nina Solomakhina, Ahmet Soylu, Christoforos Svingos, Sebastian Brandt, Martin Giese, Yannis Ioannidis, Steffen Lamparter, Ralf Möller, Yannis Kotidis, Arild Waaler

^*Corresponding author for this work

Institute of Information Systems

94 Citations (Scopus)

Abstract

We present a description and analysis of the data access challenge in Siemens Energy. We advocate 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 platform as a suitable OBDA solution for Siemens. The platform is based on a number of novel techniques and components including a deployment module, BootOX for ontology and mapping bootstrapping, a query language STARQL that allows for a uniform querying of both streaming and static data, a highly optimised backend, ExaStream, for processing such data, and a query formulation interface, OptiqueVQS, that allows to formulate STARQL queries without prior knowledge of its formal syntax. Finally, we describe our installation and evaluation of the platform in Siemens.

Original language	English
Journal	Journal of Web Semantics
Volume	44
Pages (from-to)	54-74
Number of pages	21
ISSN	1570-8268
DOIs	https://doi.org/10.1016/j.websem.2017.02.001
Publication status	Published - 01.05.2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure

DFG Research Classification Scheme

409-06 Information Systems, Process and Knowledge Management

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10.1016/j.websem.2017.02.001

Cite this

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title = "Semantic access to streaming and static data at Siemens",

abstract = "We present a description and analysis of the data access challenge in Siemens Energy. We advocate 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 platform as a suitable OBDA solution for Siemens. The platform is based on a number of novel techniques and components including a deployment module, BootOX for ontology and mapping bootstrapping, a query language STARQL that allows for a uniform querying of both streaming and static data, a highly optimised backend, ExaStream, for processing such data, and a query formulation interface, OptiqueVQS, that allows to formulate STARQL queries without prior knowledge of its formal syntax. Finally, we describe our installation and evaluation of the platform in Siemens.",

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T1 - Semantic access to streaming and static data at Siemens

AU - Kharlamov, Evgeny

AU - Mailis, Theofilos

AU - Mehdi, Gulnar

AU - Neuenstadt, Christian

AU - Özçep, Özgür

AU - Roshchin, Mikhail

AU - Solomakhina, Nina

AU - Soylu, Ahmet

AU - Svingos, Christoforos

AU - Brandt, Sebastian

AU - Giese, Martin

AU - Ioannidis, Yannis

AU - Lamparter, Steffen

AU - Möller, Ralf

AU - Kotidis, Yannis

AU - Waaler, Arild

PY - 2017/5/1

Y1 - 2017/5/1

N2 - We present a description and analysis of the data access challenge in Siemens Energy. We advocate 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 platform as a suitable OBDA solution for Siemens. The platform is based on a number of novel techniques and components including a deployment module, BootOX for ontology and mapping bootstrapping, a query language STARQL that allows for a uniform querying of both streaming and static data, a highly optimised backend, ExaStream, for processing such data, and a query formulation interface, OptiqueVQS, that allows to formulate STARQL queries without prior knowledge of its formal syntax. Finally, we describe our installation and evaluation of the platform in Siemens.

AB - We present a description and analysis of the data access challenge in Siemens Energy. We advocate 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 platform as a suitable OBDA solution for Siemens. The platform is based on a number of novel techniques and components including a deployment module, BootOX for ontology and mapping bootstrapping, a query language STARQL that allows for a uniform querying of both streaming and static data, a highly optimised backend, ExaStream, for processing such data, and a query formulation interface, OptiqueVQS, that allows to formulate STARQL queries without prior knowledge of its formal syntax. Finally, we describe our installation and evaluation of the platform in Siemens.

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DO - 10.1016/j.websem.2017.02.001

M3 - Journal articles

AN - SCOPUS:85016071469

SN - 1570-8268

VL - 44

SP - 54

EP - 74

JO - Journal of Web Semantics

JF - Journal of Web Semantics

ER -

Semantic access to streaming and static data at Siemens

Abstract

UN SDGs

DFG Research Classification Scheme

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