Hybrid System for Collaborative Knowledge Traceability - An Application to Business Emails
François Rauscher (),
Nada Matta () and
Hassan Atifi ()
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François Rauscher: Tech-CICO - TECHnologies pour la Coopération, l’Interaction et les COnnaissances dans les collectifs - ICD - Institut Charles Delaunay - UTT - Université de Technologie de Troyes - CNRS - Centre National de la Recherche Scientifique - CNRS - Centre National de la Recherche Scientifique
Nada Matta: Tech-CICO - TECHnologies pour la Coopération, l’Interaction et les COnnaissances dans les collectifs - ICD - Institut Charles Delaunay - UTT - Université de Technologie de Troyes - CNRS - Centre National de la Recherche Scientifique - CNRS - Centre National de la Recherche Scientifique
Hassan Atifi: Tech-CICO - TECHnologies pour la Coopération, l’Interaction et les COnnaissances dans les collectifs - ICD - Institut Charles Delaunay - UTT - Université de Technologie de Troyes - CNRS - Centre National de la Recherche Scientifique - CNRS - Centre National de la Recherche Scientifique
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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.
Keywords: Knowledge Management; Traceability; Problem Solving (search for similar items in EconPapers)
Date: 2015-11-12
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Published in 7th International Conference on Knowledge Management and Information Sharing, Nov 2015, Lisbon, Portugal. pp.260-267, ⟨10.5220/0005640402600267⟩
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02918425
DOI: 10.5220/0005640402600267
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