Semantic knowledge and service models for energy-aware systems

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-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 languageEnglish
Title of host publicationGreen, Pervasive, and Cloud Computing
EditorsMan Ho Allen Au, Kim-Kwang Raymond Choo, Kuan-Ching Li, Arcangelo Castiglione, Francesco Palmieri
PublisherSpringer
Pages523-537
Number of pages15
ISBN (Print)9783319571850
DOIs
Publication statusPublished - 1 Jan 2017
MoE publication typeA4 Article in a conference publication
Event12th International Conference on Green, Pervasive, and Cloud Computing, GPC 2017 - Cetara, Italy
Duration: 11 May 201714 May 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10232 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Conference on Green, Pervasive, and Cloud Computing, GPC 2017
Abbreviated titleGPC 2017
CountryItaly
CityCetara
Period11/05/1714/05/17

Fingerprint

Semantics
Energy
Interoperability
Sensors
Model
Industry
Knowledge Modeling
Business Model
Use Case
Knowledge
Weather
Grid
Sensor
Market

Keywords

  • energy-aware
  • knowledge model
  • service model
  • standards

Cite this

Kalaoja, J. (2017). Semantic knowledge and service models for energy-aware systems. In M. H. A. Au, K-K. R. Choo, K-C. Li, A. Castiglione, & F. Palmieri (Eds.), Green, Pervasive, and Cloud Computing (pp. 523-537). Springer. Lecture Notes in Computer Science, Vol.. 10232 LNCS https://doi.org/10.1007/978-3-319-57186-7_38
Kalaoja, Jarmo. / Semantic knowledge and service models for energy-aware systems. Green, Pervasive, and Cloud Computing. editor / Man Ho Allen Au ; Kim-Kwang Raymond Choo ; Kuan-Ching Li ; Arcangelo Castiglione ; Francesco Palmieri. Springer, 2017. pp. 523-537 (Lecture Notes in Computer Science, Vol. 10232 LNCS).
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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, Lecture Notes in Computer Science, vol. 10232 LNCS, 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. Springer, 2017. p. 523-537 (Lecture Notes in Computer Science, Vol. 10232 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Kalaoja J. Semantic knowledge and service models for energy-aware systems. In Au MHA, Choo K-KR, Li K-C, Castiglione A, Palmieri F, editors, Green, Pervasive, and Cloud Computing. Springer. 2017. p. 523-537. (Lecture Notes in Computer Science, Vol. 10232 LNCS). https://doi.org/10.1007/978-3-319-57186-7_38