Predicting energy consumption of ontology reasoning over mobile devices

Isa Guclu; Yuan-Fang Li; Jeff Z. Pan; Martin J. Kollingbaum

doi:10.1007/978-3-319-46523-4_18

Predicting energy consumption of ontology reasoning over mobile devices

Isa Guclu, Yuan-Fang Li, Jeff Z. Pan, Martin J. Kollingbaum

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

8 Citations (Scopus)

Abstract

The unprecedented growth in mobile devices, combined with advances in Semantic Web (SW) Technologies, has given birth to opportunities for more intelligent systems on-the-go. Limited resources of mobile devices demand approaches that make mobile reasoning more applicable. While Mobile-Cloud integration is a promising method for harnessing the power of semantic technologies in the mobile infrastructure, it is an open question how to decide when to reason over ontologies on mobile devices. In this paper, we introduce an energy consumption prediction mechanism for ontology reasoning on mobile devices that allows an analysis of the feasibility of performing an ontology reasoning on a mobile device with respect to energy consumption. The developed prediction model contributes to mobile–cloud integration and helps to improve further developments in semantic reasoning in general.

Original language	English
Title of host publication	The Semantic Web - ISWC 2016
Subtitle of host publication	15th International Semantic Web Conference, Kobe, Japan, October 17–21, 2016, Proceedings, Part I
Editors	Paul Groth, Elena Simperl, Alasdair Gray, Marta Sabou, Markus Kroetzsch, Freddy Lecue, Fabian Floeck, Yolanda Gil
Place of Publication	Cham, Switzerland
Publisher	Springer
Pages	289-304
Number of pages	16
ISBN (Electronic)	9783319465234
ISBN (Print)	9783319465227
DOIs	https://doi.org/10.1007/978-3-319-46523-4_18
Publication status	Published - 2016
Event	International Semantic Web Conference 2016 - Kobe, Japan Duration: 17 Oct 2016 → 21 Oct 2016 Conference number: 15th http://iswc2016.semanticweb.org/ https://link.springer.com/book/10.1007/978-3-319-46523-4 (Conference Proceedings - Part I) https://link.springer.com/book/10.1007/978-3-319-46547-0 (Conference Proceedings - Part II)

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	9981
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Semantic Web Conference 2016
Abbreviated title	ISWC 2016
Country/Territory	Japan
City	Kobe
Period	17/10/16 → 21/10/16
Internet address	http://iswc2016.semanticweb.org/ https://link.springer.com/book/10.1007/978-3-319-46523-4 (Conference Proceedings - Part I) https://link.springer.com/book/10.1007/978-3-319-46547-0 (Conference Proceedings - Part II)

Keywords

Energy
Semantic web
Ontology reasoning
Mobile computing
Prediction
Random forests

UN SDGs

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

Access to Document

10.1007/978-3-319-46523-4_18

Cite this

Guclu, I., Li, Y.-F., Pan, J. Z., & Kollingbaum, M. J. (2016). Predicting energy consumption of ontology reasoning over mobile devices. In P. Groth, E. Simperl, A. Gray, M. Sabou, M. Kroetzsch, F. Lecue, F. Floeck, & Y. Gil (Eds.), The Semantic Web - ISWC 2016: 15th International Semantic Web Conference, Kobe, Japan, October 17–21, 2016, Proceedings, Part I (pp. 289-304). (Lecture Notes in Computer Science; Vol. 9981). Springer. https://doi.org/10.1007/978-3-319-46523-4_18

Guclu, Isa ; Li, Yuan-Fang ; Pan, Jeff Z. et al. / Predicting energy consumption of ontology reasoning over mobile devices. The Semantic Web - ISWC 2016: 15th International Semantic Web Conference, Kobe, Japan, October 17–21, 2016, Proceedings, Part I. editor / Paul Groth ; Elena Simperl ; Alasdair Gray ; Marta Sabou ; Markus Kroetzsch ; Freddy Lecue ; Fabian Floeck ; Yolanda Gil. Cham, Switzerland : Springer, 2016. pp. 289-304 (Lecture Notes in Computer Science).

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title = "Predicting energy consumption of ontology reasoning over mobile devices",

abstract = "The unprecedented growth in mobile devices, combined with advances in Semantic Web (SW) Technologies, has given birth to opportunities for more intelligent systems on-the-go. Limited resources of mobile devices demand approaches that make mobile reasoning more applicable. While Mobile-Cloud integration is a promising method for harnessing the power of semantic technologies in the mobile infrastructure, it is an open question how to decide when to reason over ontologies on mobile devices. In this paper, we introduce an energy consumption prediction mechanism for ontology reasoning on mobile devices that allows an analysis of the feasibility of performing an ontology reasoning on a mobile device with respect to energy consumption. The developed prediction model contributes to mobile–cloud integration and helps to improve further developments in semantic reasoning in general.",

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booktitle = "The Semantic Web - ISWC 2016",

note = "International Semantic Web Conference 2016, ISWC 2016 ; Conference date: 17-10-2016 Through 21-10-2016",

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Guclu, I, Li, Y-F, Pan, JZ & Kollingbaum, MJ 2016, Predicting energy consumption of ontology reasoning over mobile devices. in P Groth, E Simperl, A Gray, M Sabou, M Kroetzsch, F Lecue, F Floeck & Y Gil (eds), The Semantic Web - ISWC 2016: 15th International Semantic Web Conference, Kobe, Japan, October 17–21, 2016, Proceedings, Part I. Lecture Notes in Computer Science, vol. 9981, Springer, Cham, Switzerland, pp. 289-304, International Semantic Web Conference 2016, Kobe, Japan, 17/10/16. https://doi.org/10.1007/978-3-319-46523-4_18

Predicting energy consumption of ontology reasoning over mobile devices. / Guclu, Isa; Li, Yuan-Fang; Pan, Jeff Z. et al.
The Semantic Web - ISWC 2016: 15th International Semantic Web Conference, Kobe, Japan, October 17–21, 2016, Proceedings, Part I. ed. / Paul Groth; Elena Simperl; Alasdair Gray; Marta Sabou; Markus Kroetzsch; Freddy Lecue; Fabian Floeck; Yolanda Gil. Cham, Switzerland: Springer, 2016. p. 289-304 (Lecture Notes in Computer Science; Vol. 9981).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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T1 - Predicting energy consumption of ontology reasoning over mobile devices

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AU - Li, Yuan-Fang

AU - Pan, Jeff Z.

AU - Kollingbaum, Martin J.

N1 - Conference code: 15th

PY - 2016

Y1 - 2016

N2 - The unprecedented growth in mobile devices, combined with advances in Semantic Web (SW) Technologies, has given birth to opportunities for more intelligent systems on-the-go. Limited resources of mobile devices demand approaches that make mobile reasoning more applicable. While Mobile-Cloud integration is a promising method for harnessing the power of semantic technologies in the mobile infrastructure, it is an open question how to decide when to reason over ontologies on mobile devices. In this paper, we introduce an energy consumption prediction mechanism for ontology reasoning on mobile devices that allows an analysis of the feasibility of performing an ontology reasoning on a mobile device with respect to energy consumption. The developed prediction model contributes to mobile–cloud integration and helps to improve further developments in semantic reasoning in general.

AB - The unprecedented growth in mobile devices, combined with advances in Semantic Web (SW) Technologies, has given birth to opportunities for more intelligent systems on-the-go. Limited resources of mobile devices demand approaches that make mobile reasoning more applicable. While Mobile-Cloud integration is a promising method for harnessing the power of semantic technologies in the mobile infrastructure, it is an open question how to decide when to reason over ontologies on mobile devices. In this paper, we introduce an energy consumption prediction mechanism for ontology reasoning on mobile devices that allows an analysis of the feasibility of performing an ontology reasoning on a mobile device with respect to energy consumption. The developed prediction model contributes to mobile–cloud integration and helps to improve further developments in semantic reasoning in general.

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KW - Ontology reasoning

KW - Mobile computing

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A2 - Groth, Paul

A2 - Simperl, Elena

A2 - Gray, Alasdair

A2 - Sabou, Marta

A2 - Kroetzsch, Markus

A2 - Lecue, Freddy

A2 - Floeck, Fabian

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ER -

Guclu I, Li YF, Pan JZ, Kollingbaum MJ. Predicting energy consumption of ontology reasoning over mobile devices. In Groth P, Simperl E, Gray A, Sabou M, Kroetzsch M, Lecue F, Floeck F, Gil Y, editors, The Semantic Web - ISWC 2016: 15th International Semantic Web Conference, Kobe, Japan, October 17–21, 2016, Proceedings, Part I. Cham, Switzerland: Springer. 2016. p. 289-304. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-46523-4_18

Predicting energy consumption of ontology reasoning over mobile devices

Abstract

Publication series

Conference

Keywords

UN SDGs

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