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Authors: Malika Grim-Yefsah 1 and Benedicte Bucher 2

Affiliations: 1 ENSG, 6-8 Avenue Blaise Pascal, 77420 Champs sur Marne and France ; 2 IGN, 73 Avenue de Paris, 94165, Saint Mandé and France

Keyword(s): Knowledge Management, Knowledge Capitalization, Knowledge Management System, Sport Events, Legacy, UML.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; KM Strategies and Implementations ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Symbolic Systems ; Tools and Technology for Knowledge Management

Abstract: Knowledge Management is a way to answer the problem of capitalizing on the companies’ knowledge. Knowing that hosting sports events (SE) requires organizers to learn from past events to not repeat mistakes, we examine knowledge management in a sport events legacy (SEL). Thus, in this paper, we propose in first, two conceptual models based on UML; one for the SE, another for SEL. Secondly, we propose a system to manage SEL to assist in the process of data acquisition and capitalization on SE knowledge. This system helps to create an open collaborative platform for consultation, visualization of the spinoffs of sport events. It is intended to be used by public policies, territories, journalists, citizens, historians and all others. We propose also to take into account the spatiotemporal aspects of SE.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Grim-Yefsah, M. and Bucher, B. (2019). Towards Improving Knowledge Capitalization System for Sport Events Legacy. In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - KMIS; ISBN 978-989-758-382-7; ISSN 2184-3228, SciTePress, pages 264-270. DOI: 10.5220/0008348102640270

@conference{kmis19,
author={Malika Grim{-}Yefsah. and Benedicte Bucher.},
title={Towards Improving Knowledge Capitalization System for Sport Events Legacy},
booktitle={Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - KMIS},
year={2019},
pages={264-270},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008348102640270},
isbn={978-989-758-382-7},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - KMIS
TI - Towards Improving Knowledge Capitalization System for Sport Events Legacy
SN - 978-989-758-382-7
IS - 2184-3228
AU - Grim-Yefsah, M.
AU - Bucher, B.
PY - 2019
SP - 264
EP - 270
DO - 10.5220/0008348102640270
PB - SciTePress