How to Extract Knowledge from Professional E-Mails

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: Computer mediated communication is ubiquitous in Software design projects. Email is used for project coordination, but also for design, implementation and test. Especially with currents agile development methods, it is very common to interact through computer meditated communication like email, instant messaging and other collaborative tools in order to express functional needs, notify of issues and take appropriate decisions. In this paper we propose a Knowledge Trace 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 practices 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: computer mediated communication; electronic mail; knowledge acquisition; knowledge management; learning (artificial intelligence); problem solving; software prototyping (search for similar items in EconPapers)
Date: 2015-11-23
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Published in 2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), Nov 2015, Bangkok, Thailand. pp.687-692, ⟨10.1109/SITIS.2015.113⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02918398

DOI: 10.1109/SITIS.2015.113

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