Artificial Intelligence for Knowledge Management Third IFIP WG 12.6 International Workshop, AI4KM 2015 Held at IJCAI 2015 Buenos Aires, Argentina, July 25-31, 2015
Conference papers
Context Aware Knowledge Zoning: Traceability and Business Emails
Abstract : Even if immaterial capital represents an increasingly important part of the value of our enterprises, it’s not always possible to store, trace or capture knowledge and expertise, for instance in middle sized projects. Email it still widely used in professional projects especially among geographically distributed teams. In this paper we present a novel approach to detect zones inside business emails where elements of knowledge are likely to be found. We define an enhanced context taking into account not only the email content and metadata but also the competencies of the users and their roles. Also linguistic pragmatic analysis is added to usual NLP technics. After describing our model and method, we apply it to a real life corpus and evaluate the results based on machine learning experiments and filtering algorithm.
https://hal.inria.fr/hal-01626990
Contributor : Hal Ifip <>
Submitted on : Tuesday, October 31, 2017 - 3:43:36 PM Last modification on : Friday, October 23, 2020 - 4:34:27 PM Long-term archiving on: : Thursday, February 1, 2018 - 1:55:07 PM
François Rauscher, Nada Matta, Hassan Atifi. Context Aware Knowledge Zoning: Traceability and Business Emails. 3rd IFIP International Workshop on Artificial Intelligence for Knowledge Management (AI4KM), Jul 2015, Buenos Aires, Argentina. pp.66-79, ⟨10.1007/978-3-319-55970-4_5⟩. ⟨hal-01626990⟩