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Authors: Fatma-Zohra Lebib ; Hakima Mellah and Linda Mohand-Oussaid

Affiliation: CERIST, Algeria

Keyword(s): Human-computer Interaction (HCI), Modality, Ontology, SWRL, Rule-based Reasoning, User Interface Adaptation.

Abstract: The paper aims to show how reasoning on ontology can be helpful for user interface adaptation. From a set of user characteristics and interface parameters, it is possible to deduct the most suitable and adaptable interfaces for him/her. To do so, Semantic Web Rule Language (SWRL) rules are used to derive the appropriate interface for a specific user, considering different factors related to his/her abilities, preferences, skills, etc. A use case, in handicrafts domain, is presented; different input and output interaction modalities (writing, selection, text, speech, etc) are proposed to a handcraft woman according to her sensory perception and motor skills. The modalities are structured within what we called "interaction ontology".

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Paper citation in several formats:
Lebib, F.; Mellah, H. and Mohand-Oussaid, L. (2016). Ontological Interaction Modeling and Semantic Rule-based Reasoning for User Interface Adaptation. In Proceedings of the 12th International Conference on Web Information Systems and Technologies (WEBIST 2016) - Volume 1: SRIS; ISBN 978-989-758-186-1; ISSN 2184-3252, SciTePress, pages 347-354. DOI: 10.5220/0005854303470354

@conference{sris16,
author={Fatma{-}Zohra Lebib. and Hakima Mellah. and Linda Mohand{-}Oussaid.},
title={Ontological Interaction Modeling and Semantic Rule-based Reasoning for User Interface Adaptation},
booktitle={Proceedings of the 12th International Conference on Web Information Systems and Technologies (WEBIST 2016) - Volume 1: SRIS},
year={2016},
pages={347-354},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005854303470354},
isbn={978-989-758-186-1},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Web Information Systems and Technologies (WEBIST 2016) - Volume 1: SRIS
TI - Ontological Interaction Modeling and Semantic Rule-based Reasoning for User Interface Adaptation
SN - 978-989-758-186-1
IS - 2184-3252
AU - Lebib, F.
AU - Mellah, H.
AU - Mohand-Oussaid, L.
PY - 2016
SP - 347
EP - 354
DO - 10.5220/0005854303470354
PB - SciTePress