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Ontology-driven word recommendation for mobile Web search

Published online by Cambridge University Press:  21 March 2014

Daniel Aréchiga ,
Fabio Crestani  and
Jesús Vegas
Daniel Aréchiga
Affiliation:
Southern Universitary Center, University of Guadalajara, Av. Enrique Arreola Silva 883, Ciudad Guzmán, Jalisco, CP 49000, México; e-mail: [email protected]
Fabio Crestani
Affiliation:
Faculty of Informatics, University of Lugano, Stabile Informatica, Via Buffi 13, 6904Lugano, Switzerland; e-mail: [email protected]
Jesús Vegas
Affiliation:
Department of Computer Science, University of Valladolid, Camino al Cementerio s/n, 47011 Valladolid, Spain; e-mail: [email protected]
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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.

Type
Articles
Information
The Knowledge Engineering Review , Volume 29 , Issue 2 , March 2014 , pp. 186 - 200
Copyright
Copyright © Cambridge University Press 2014 

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