How Semantic Technologies Can Enhance Data Access at Siemens Energy

Evgeny Kharlamov; Nina Solomakhina; Özgür Lütfü Özçep; Dmitriy Zheleznyakov; Thomas Hubauer; Steffen Lamparter; Mikhail Roshchin; Ahmet Soylu; Stuart Watson

doi:10.1007/978-3-319-11964-9_38

How Semantic Technologies Can Enhance Data Access at Siemens Energy

Evgeny Kharlamov, Nina Solomakhina, Özgür Lütfü Özçep, Dmitriy Zheleznyakov, Thomas Hubauer, Steffen Lamparter, Mikhail Roshchin, Ahmet Soylu, Stuart Watson

Institute of Information Systems

Abstract

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 platform as a suitable OBDA solution for Siemens. Finally, we describe our preliminary installation and evaluation of the platform in Siemens.

Original language	English
Title of host publication	The Semantic Web -- ISWC 2014
Editors	Peter Mika, Tania Tudorache, Abraham Bernstein, Chris Welty, Craig Knoblock, Denny Vrandeci, Paul Groth, Natasha Noy, Krzysztof Janowicz, Carole Goble
Number of pages	19
Volume	8796
Place of Publication	Cham
Publisher	Springer International Publishing
Publication date	01.10.2014
Pages	601-619
ISBN (Print)	978-3-319-11963-2
ISBN (Electronic)	978-3-319-11964-9
DOIs	https://doi.org/10.1007/978-3-319-11964-9_38
Publication status	Published - 01.10.2014
Event	13th International Semantic Web Conference - Riva del Garda, Italy Duration: 19.10.2014 → 23.10.2014 Conference number: 109489

UN SDGs

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

Access to Document

10.1007/978-3-319-11964-9_38

Cite this

Kharlamov, E., Solomakhina, N., Özçep, Ö. L., Zheleznyakov, D., Hubauer, T., Lamparter, S., Roshchin, M., Soylu, A., & Watson, S. (2014). How Semantic Technologies Can Enhance Data Access at Siemens Energy. In P. Mika, T. Tudorache, A. Bernstein, C. Welty, C. Knoblock, D. Vrandeci, P. Groth, N. Noy, K. Janowicz, & C. Goble (Eds.), The Semantic Web -- ISWC 2014 (Vol. 8796, pp. 601-619). (Lecture Notes in Computer Science; Vol. 8796). Springer International Publishing. https://doi.org/10.1007/978-3-319-11964-9_38

Kharlamov, Evgeny ; Solomakhina, Nina ; Özçep, Özgür Lütfü et al. / How Semantic Technologies Can Enhance Data Access at Siemens Energy. The Semantic Web -- ISWC 2014. editor / Peter Mika ; Tania Tudorache ; Abraham Bernstein ; Chris Welty ; Craig Knoblock ; Denny Vrandeci ; Paul Groth ; Natasha Noy ; Krzysztof Janowicz ; Carole Goble. Vol. 8796 Cham : Springer International Publishing, 2014. pp. 601-619 (Lecture Notes in Computer Science).

@inproceedings{f3efa13690d746b98d45d158c5b0f95c,

title = "How Semantic Technologies Can Enhance Data Access at Siemens Energy",

abstract = "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 platform as a suitable OBDA solution for Siemens. Finally, we describe our preliminary installation and evaluation of the platform in Siemens.",

author = "Evgeny Kharlamov and Nina Solomakhina and {\"O}z{\c c}ep, {{\"O}zg{\"u}r L{\"u}tf{\"u}} and Dmitriy Zheleznyakov and Thomas Hubauer and Steffen Lamparter and Mikhail Roshchin and Ahmet Soylu and Stuart Watson",

year = "2014",

month = oct,

day = "1",

doi = "10.1007/978-3-319-11964-9_38",

language = "English",

isbn = "978-3-319-11963-2",

volume = "8796",

series = "Lecture Notes in Computer Science",

publisher = "Springer International Publishing",

pages = "601--619",

editor = "Peter Mika and Tania Tudorache and Abraham Bernstein and Chris Welty and Craig Knoblock and Denny Vrandeci and Paul Groth and Natasha Noy and Krzysztof Janowicz and Carole Goble",

booktitle = "The Semantic Web -- ISWC 2014",

note = "13th International Semantic Web Conference <br/>, ISWC 2014 ; Conference date: 19-10-2014 Through 23-10-2014",

}

Kharlamov, E, Solomakhina, N, Özçep, ÖL, Zheleznyakov, D, Hubauer, T, Lamparter, S, Roshchin, M, Soylu, A & Watson, S 2014, How Semantic Technologies Can Enhance Data Access at Siemens Energy. in P Mika, T Tudorache, A Bernstein, C Welty, C Knoblock, D Vrandeci, P Groth, N Noy, K Janowicz & C Goble (eds), The Semantic Web -- ISWC 2014. vol. 8796, Lecture Notes in Computer Science, vol. 8796, Springer International Publishing, Cham, pp. 601-619, 13th International Semantic Web Conference
, Riva del Garda, Italy, 19.10.14. https://doi.org/10.1007/978-3-319-11964-9_38

How Semantic Technologies Can Enhance Data Access at Siemens Energy. / Kharlamov, Evgeny; Solomakhina, Nina; Özçep, Özgür Lütfü et al.
The Semantic Web -- ISWC 2014. ed. / Peter Mika; Tania Tudorache; Abraham Bernstein; Chris Welty; Craig Knoblock; Denny Vrandeci; Paul Groth; Natasha Noy; Krzysztof Janowicz; Carole Goble. Vol. 8796 Cham: Springer International Publishing, 2014. p. 601-619 (Lecture Notes in Computer Science; Vol. 8796).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

TY - GEN

T1 - How Semantic Technologies Can Enhance Data Access at Siemens Energy

AU - Kharlamov, Evgeny

AU - Solomakhina, Nina

AU - Özçep, Özgür Lütfü

AU - Zheleznyakov, Dmitriy

AU - Hubauer, Thomas

AU - Lamparter, Steffen

AU - Roshchin, Mikhail

AU - Soylu, Ahmet

AU - Watson, Stuart

N1 - Conference code: 109489

PY - 2014/10/1

Y1 - 2014/10/1

N2 - 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 platform as a suitable OBDA solution for Siemens. Finally, we describe our preliminary installation and evaluation of the platform in Siemens.

AB - 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 platform as a suitable OBDA solution for Siemens. Finally, we describe our preliminary installation and evaluation of the platform in Siemens.

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-84908680829&origin=inward&txGid=5473486ad9c7c80f4d1b7cffff750a39

U2 - 10.1007/978-3-319-11964-9_38

DO - 10.1007/978-3-319-11964-9_38

M3 - Conference contribution

SN - 978-3-319-11963-2

VL - 8796

T3 - Lecture Notes in Computer Science

SP - 601

EP - 619

BT - The Semantic Web -- ISWC 2014

A2 - Mika, Peter

A2 - Tudorache, Tania

A2 - Bernstein, Abraham

A2 - Welty, Chris

A2 - Knoblock, Craig

A2 - Vrandeci, Denny

A2 - Groth, Paul

A2 - Noy, Natasha

A2 - Janowicz, Krzysztof

A2 - Goble, Carole

PB - Springer International Publishing

CY - Cham

T2 - 13th International Semantic Web Conference <br/>

Y2 - 19 October 2014 through 23 October 2014

ER -

Kharlamov E, Solomakhina N, Özçep ÖL, Zheleznyakov D, Hubauer T, Lamparter S et al. How Semantic Technologies Can Enhance Data Access at Siemens Energy. In Mika P, Tudorache T, Bernstein A, Welty C, Knoblock C, Vrandeci D, Groth P, Noy N, Janowicz K, Goble C, editors, The Semantic Web -- ISWC 2014. Vol. 8796. Cham: Springer International Publishing. 2014. p. 601-619. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-11964-9_38

How Semantic Technologies Can Enhance Data Access at Siemens Energy

Abstract

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this