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How to Extract Knowledge from Professional E-Mails

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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.
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Dates and versions

hal-02918398 , version 1 (20-08-2020)

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François Rauscher, Nada Matta, Hassan Atifi. How to Extract Knowledge from Professional E-Mails. 2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), Nov 2015, Bangkok, Thailand. pp.687-692, ⟨10.1109/SITIS.2015.113⟩. ⟨hal-02918398⟩
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