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Authors: Karim Sehaba 1 and Benoît Encelle 2

Affiliations: 1 Université de Lyon, CNRS, Université de Lyon 2, LIRIS, UMR5205 and France ; 2 Université de Lyon, CNRS, Université de Lyon 1, LIRIS, UMR5205 and France

ISBN: 978-989-758-382-7

Keyword(s): Knowledge Extraction, Interaction Traces, Task Model, ConcurTaskTrees (CTT), Web Browsing Assistance.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Communication, Collaboration and Information Sharing ; Intelligent Information Systems ; Knowledge Management and Information Sharing ; Knowledge Management Projects ; Knowledge-Based Systems ; Symbolic Systems ; Tools and Technology for Knowledge Management

Abstract: This work focuses on the extraction of knowledge from observed usage. More specifically, it aims to design a Web browsing assistance system that helps the user in carrying out his browsing task, or the designer in adapting or redesigning his Web application, according to real usage. The proposed approach consists of generating task models from interaction traces, which are then used to perform assistance. The characteristics to be supported by a task metamodel for assistance purposes are first identified and then confronted with the characteristics of existing task metamodels. This first study led us to choose the ConcurTaskTrees (CTT) metamodel. We then developed processes to generate CTT task models from traces. Finally, to validate our approach, we conducted unit testing and validation based on two real web browsing scenarios.

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Paper citation in several formats:
Sehaba, K. and Encelle, B. (2019). Generation of Task Models from Observed Usage Application to Web Browsing Assistance.In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, ISBN 978-989-758-382-7, pages 74-82. DOI: 10.5220/0008068300740082

@conference{kmis19,
author={Karim Sehaba. and Benoît Encelle.},
title={Generation of Task Models from Observed Usage Application to Web Browsing Assistance},
booktitle={Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS,},
year={2019},
pages={74-82},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008068300740082},
isbn={978-989-758-382-7},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS,
TI - Generation of Task Models from Observed Usage Application to Web Browsing Assistance
SN - 978-989-758-382-7
AU - Sehaba, K.
AU - Encelle, B.
PY - 2019
SP - 74
EP - 82
DO - 10.5220/0008068300740082

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