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Authors: Grégory Bourguin and Arnaud Lewandowski

Affiliation: University of Lille Nord de France, ULCO, LISIC and France

Keyword(s): Tagging, Context, Activity, Viewpoint, Ontology, MUTO, PROV.

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

Abstract: A large amount of applications now includes tagging mechanisms that have proven efficiency to organize, navigate through, retrieve, and discover online resources. However, despite the valuable research work done to improve these solutions, the literature shows that a further step has to be done in order to better consider the contexts in which tagging actions occur. In this paper, we define a list of elements constituting a tagging context that should be considered in order to better give access to the knowledge shared through users’ taggings. We propose an ontological model named ABCT (Activity Based Contextual Tagging) for describing these contexts. ABCT takes benefits from the many research in tagging ontologies and that are synthetized in MUTO (Modular Unified Tagging Ontology). ABCT marries MUTO and PROV (Provenance) concepts to facilitate the description of tags and tagging contexts, essentially through to the notions of Tagging and Activity.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Bourguin, G. and Lewandowski, A. (2018). ABCT: The Activity based Contextual Tagging Ontology. In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - KMIS; ISBN 978-989-758-330-8; ISSN 2184-3228, SciTePress, pages 200-207. DOI: 10.5220/0006953902000207

@conference{kmis18,
author={Grégory Bourguin. and Arnaud Lewandowski.},
title={ABCT: The Activity based Contextual Tagging Ontology},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - KMIS},
year={2018},
pages={200-207},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006953902000207},
isbn={978-989-758-330-8},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - KMIS
TI - ABCT: The Activity based Contextual Tagging Ontology
SN - 978-989-758-330-8
IS - 2184-3228
AU - Bourguin, G.
AU - Lewandowski, A.
PY - 2018
SP - 200
EP - 207
DO - 10.5220/0006953902000207
PB - SciTePress