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

    SeriesLecture Notes in Computer Science
    Volume10232 LNCS
    ISSN0302-9743

    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).
    @inproceedings{a2c09802bb78446c85efee550420284d,
    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",
    author = "Jarmo Kalaoja",
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    year = "2017",
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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",
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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