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 proceedingConference PaperResearchpeer-review

    7 Citations (Scopus)


    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 languageEnglish
    Title of host publicationThe Semantic Web - ISWC 2016
    Subtitle of host publication15th International Semantic Web Conference, Kobe, Japan, October 17–21, 2016, Proceedings, Part I
    EditorsPaul Groth, Elena Simperl, Alasdair Gray, Marta Sabou, Markus Kroetzsch, Freddy Lecue, Fabian Floeck, Yolanda Gil
    Place of PublicationCham, Switzerland
    Number of pages16
    ISBN (Electronic)9783319465234
    ISBN (Print)9783319465227
    Publication statusPublished - 2016
    EventInternational Semantic Web Conference 2016 - Kobe, Japan
    Duration: 17 Oct 201621 Oct 2016
    Conference number: 15th (Conference Proceedings - Part I) (Conference Proceedings - Part II)

    Publication series

    NameLecture Notes in Computer Science
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


    ConferenceInternational Semantic Web Conference 2016
    Abbreviated titleISWC 2016
    Internet address


    • Energy
    • Semantic web
    • Ontology reasoning
    • Mobile computing
    • Prediction
    • Random forests

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