Skip to Main content Skip to Navigation
Conference papers

Hybrid System for Collaborative Knowledge Traceability - An Application to Business Emails

François Rauscher 1 Nada Matta 1 Hassan Atifi 1
1 Tech-CICO - TECHnologies pour la Coopération, l’Interaction et les COnnaissances dans les collectifs
ICD - Institut Charles Delaunay, CNRS - Centre National de la Recherche Scientifique : FRE2732
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.
Complete list of metadatas

https://hal-utt.archives-ouvertes.fr/hal-02918425
Contributor : Daniel Gavrysiak <>
Submitted on : Thursday, August 20, 2020 - 2:59:11 PM
Last modification on : Friday, August 21, 2020 - 3:30:55 AM

Identifiers

Collections

HETIC | UTT | CNRS

Citation

François Rauscher, Nada Matta, Hassan Atifi. Hybrid System for Collaborative Knowledge Traceability - An Application to Business Emails. 7th International Conference on Knowledge Management and Information Sharing, Nov 2015, Lisbon, Portugal. pp.260-267, ⟨10.5220/0005640402600267⟩. ⟨hal-02918425⟩

Share

Metrics

Record views

23