Semantic knowledge and service models for energy-aware systems

Jarmo Kalaoja

doi:10.1007/978-3-319-57186-7_38

Semantic knowledge and service models for energy-aware systems

Jarmo Kalaoja

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

The energy domain is affected by digitalization like any other domain. Interoperability between the energy-aware devices and grid, and even market actors, are opening a vast amount of use-cases and business models for smart energy services and possibilities to make the systems more efficient. Related standards in the energy domain and neighbouring domains are numerous and knowledge modelling needs to take this already grounded work into account. This research shows how energy-related information and concepts, from weather and energy market information to sensor data, are semantically described and how services using the semantic information can manifest themselves in the same semantic way to be used in a network of energy awareness-related services.

Original language	English
Title of host publication	Green, Pervasive, and Cloud Computing
Editors	Man Ho Allen Au, Kim-Kwang Raymond Choo, Kuan-Ching Li, Arcangelo Castiglione, Francesco Palmieri
Place of Publication	Cham
Publisher	Springer
Pages	523-537
ISBN (Electronic)	978-3-319-57186-7
ISBN (Print)	978-3-319-57185-0
DOIs	https://doi.org/10.1007/978-3-319-57186-7_38
Publication status	Published - 1 Jan 2017
MoE publication type	A4 Article in a conference publication
Event	12th International Conference on Green, Pervasive, and Cloud Computing, GPC 2017 - Cetara, Italy Duration: 11 May 2017 → 14 May 2017

Publication series

Series	Lecture Notes in Computer Science
Volume	10232
ISSN	0302-9743

Conference

Conference	12th International Conference on Green, Pervasive, and Cloud Computing, GPC 2017
Abbreviated title	GPC 2017
Country/Territory	Italy
City	Cetara
Period	11/05/17 → 14/05/17

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

energy-aware
knowledge model
service model
standards

Access to Document

10.1007/978-3-319-57186-7_38

Cite this

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title = "Semantic knowledge and service models for energy-aware systems",

abstract = "The energy domain is affected by digitalization like any other domain. Interoperability between the energy-aware devices and grid, and even market actors, are opening a vast amount of use-cases and business models for smart energy services and possibilities to make the systems more efficient. Related standards in the energy domain and neighbouring domains are numerous and knowledge modelling needs to take this already grounded work into account. This research shows how energy-related information and concepts, from weather and energy market information to sensor data, are semantically described and how services using the semantic information can manifest themselves in the same semantic way to be used in a network of energy awareness-related services.",

keywords = "energy-aware, knowledge model, service model, standards",

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doi = "10.1007/978-3-319-57186-7\_38",

language = "English",

isbn = "978-3-319-57185-0",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

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editor = "Au, \{Man Ho Allen\} and Choo, \{Kim-Kwang Raymond\} and Kuan-Ching Li and Arcangelo Castiglione and Francesco Palmieri",

booktitle = "Green, Pervasive, and Cloud Computing",

address = "Germany",

note = "12th International Conference on Green, Pervasive, and Cloud Computing, GPC 2017, GPC 2017 ; Conference date: 11-05-2017 Through 14-05-2017",

}

Kalaoja, J 2017, Semantic knowledge and service models for energy-aware systems. in MHA Au, K-KR Choo, K-C Li, A Castiglione & F Palmieri (eds), Green, Pervasive, and Cloud Computing. Springer, Cham, Lecture Notes in Computer Science, vol. 10232, pp. 523-537, 12th International Conference on Green, Pervasive, and Cloud Computing, GPC 2017, Cetara, Italy, 11/05/17. https://doi.org/10.1007/978-3-319-57186-7_38

Semantic knowledge and service models for energy-aware systems. / Kalaoja, Jarmo.
Green, Pervasive, and Cloud Computing. ed. / Man Ho Allen Au; Kim-Kwang Raymond Choo; Kuan-Ching Li; Arcangelo Castiglione; Francesco Palmieri. Cham: Springer, 2017. p. 523-537 (Lecture Notes in Computer Science, Vol. 10232).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Semantic knowledge and service models for energy-aware systems

AU - Kalaoja, Jarmo

PY - 2017/1/1

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N2 - The energy domain is affected by digitalization like any other domain. Interoperability between the energy-aware devices and grid, and even market actors, are opening a vast amount of use-cases and business models for smart energy services and possibilities to make the systems more efficient. Related standards in the energy domain and neighbouring domains are numerous and knowledge modelling needs to take this already grounded work into account. This research shows how energy-related information and concepts, from weather and energy market information to sensor data, are semantically described and how services using the semantic information can manifest themselves in the same semantic way to be used in a network of energy awareness-related services.

AB - The energy domain is affected by digitalization like any other domain. Interoperability between the energy-aware devices and grid, and even market actors, are opening a vast amount of use-cases and business models for smart energy services and possibilities to make the systems more efficient. Related standards in the energy domain and neighbouring domains are numerous and knowledge modelling needs to take this already grounded work into account. This research shows how energy-related information and concepts, from weather and energy market information to sensor data, are semantically described and how services using the semantic information can manifest themselves in the same semantic way to be used in a network of energy awareness-related services.

KW - energy-aware

KW - knowledge model

KW - service model

KW - standards

UR - https://www.scopus.com/pages/publications/85019261893

U2 - 10.1007/978-3-319-57186-7_38

DO - 10.1007/978-3-319-57186-7_38

M3 - Conference article in proceedings

SN - 978-3-319-57185-0

T3 - Lecture Notes in Computer Science

SP - 523

EP - 537

BT - Green, Pervasive, and Cloud Computing

A2 - Au, Man Ho Allen

A2 - Choo, Kim-Kwang Raymond

A2 - Li, Kuan-Ching

A2 - Castiglione, Arcangelo

A2 - Palmieri, Francesco

PB - Springer

CY - Cham

T2 - 12th International Conference on Green, Pervasive, and Cloud Computing, GPC 2017

Y2 - 11 May 2017 through 14 May 2017

ER -

Semantic knowledge and service models for energy-aware systems

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this