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RESEARCH ARTICLE   Open Access    

Ontology-driven word recommendation for mobile Web search

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  • Abstract: The Web search has special characteristics against the desktop search when realized from mobile devices. To establish an improvement within this paradigm, an option is to take into account the context from which the search is developed. To conceptualize the mobile context, we propose the use of ontologies, which will include the device characteristics, environmental conditions and user preferences, among other term conceptualizations. This context definition would be used to determinate the behavior of a word recommendation when searching from mobile devices. As an essential process of creating this context ontology, we have made a real user's evaluation of the ontology terms by means of a survey. This paper shows a brief introduction to the project and focuses mainly on the results obtained in this concept's evaluation.
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  • Cite this article

    Daniel Aréchiga, Fabio Crestani, Jesús Vegas. 2014. Ontology-driven word recommendation for mobile Web search. The Knowledge Engineering Review 29(2)186−200, doi: 10.1017/S0269888914000125
    Daniel Aréchiga, Fabio Crestani, Jesús Vegas. 2014. Ontology-driven word recommendation for mobile Web search. The Knowledge Engineering Review 29(2)186−200, doi: 10.1017/S0269888914000125

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RESEARCH ARTICLE   Open Access    

Ontology-driven word recommendation for mobile Web search

The Knowledge Engineering Review  29 2014, 29(2): 186−200  |  Cite this article

Abstract: Abstract: The Web search has special characteristics against the desktop search when realized from mobile devices. To establish an improvement within this paradigm, an option is to take into account the context from which the search is developed. To conceptualize the mobile context, we propose the use of ontologies, which will include the device characteristics, environmental conditions and user preferences, among other term conceptualizations. This context definition would be used to determinate the behavior of a word recommendation when searching from mobile devices. As an essential process of creating this context ontology, we have made a real user's evaluation of the ontology terms by means of a survey. This paper shows a brief introduction to the project and focuses mainly on the results obtained in this concept's evaluation.

    • This work is partially funded by MICINN (grant TIN2009-14009-C02-02).

    • SPICE Mobile Ontology, http://ontology.ist-spice.org/index.html

    • W3C Delivery Context Ontology, http://www.w3.org/TR/dcontology/

    • MYMOSE http://mymobilesearch.morfeo-project.org/mymobilesearch/lng/en

    • Merriam-Webster OnLine ‘context’ definition http://www.merriam-webster.com/dictionary/context

    • http://sites.google.com/site/danielarechiga/research/comode/COMoDE2ndlevel.pdf

    • http://www.limesurvey.org/

    • http://sites.google.com/site/danielarechiga/research/comode/Survey.pdf

    • http://sites.google.com/site/danielarechiga/research/comode/SurveyComplete.pdf

    • Copyright © Cambridge University Press 2014 2014Cambridge University Press
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    Cite this article
    Daniel Aréchiga, Fabio Crestani, Jesús Vegas. 2014. Ontology-driven word recommendation for mobile Web search. The Knowledge Engineering Review 29(2)186−200, doi: 10.1017/S0269888914000125
    Daniel Aréchiga, Fabio Crestani, Jesús Vegas. 2014. Ontology-driven word recommendation for mobile Web search. The Knowledge Engineering Review 29(2)186−200, doi: 10.1017/S0269888914000125
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