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Authors: Francois Rauscher ; Nada Matta and Hassan Atifi

Affiliation: Université de Technologie de Troyes, France

Keyword(s): Knowledge Management, Traceability, Problem Solving.

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

Abstract: In this paper we propose a Knowledge Traces Retrieval (KTR) system. It addresses the problem of retrieving elements of problem solving and design rationale inside business emails from a project. Even if knowledge management tools and practises are well spread in industry, they are rarely used for small projects. Our system aims at helping user retrieve traces of problem solving knowledge in large corpus of email from a past project. The framework and methodology is based on enhanced context (project data, user competencies and profiles), and use machine learning technics and ranking algorithm.

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Paper citation in several formats:
Rauscher, F., Matta, N. and Atifi, H. (2015). Hybrid System for Collaborative Knowledge Traceability - An Application to Business Emails. In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KMIS; ISBN 978-989-758-158-8; ISSN 2184-3228, SciTePress, pages 260-267. DOI: 10.5220/0005640402600267

@conference{kmis15,
author={Francois Rauscher and Nada Matta and Hassan Atifi},
title={Hybrid System for Collaborative Knowledge Traceability - An Application to Business Emails},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KMIS},
year={2015},
pages={260-267},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005640402600267},
isbn={978-989-758-158-8},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KMIS
TI - Hybrid System for Collaborative Knowledge Traceability - An Application to Business Emails
SN - 978-989-758-158-8
IS - 2184-3228
AU - Rauscher, F.
AU - Matta, N.
AU - Atifi, H.
PY - 2015
SP - 260
EP - 267
DO - 10.5220/0005640402600267
PB - SciTePress

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