Knowledge Dynamics§

auteur:Pierre-Antoine Champin
adresse:Département Informatique - IUT - Lyon1
licence:Ce travail est sous license Creative Commons Attribution-ShareAlike 3.0 France


In this module, we will focus on the dynamics of knowledge and of knowledge engineering. We will study the interactive and iterative processes that allow to produce knowledge that are usable by the tools of artificial intelligence.

We will describe the traditional approaches of knowledge engineering (knowledge acquisition, knowledge management, knowledge sharing) and show their limits. Then, we will show that a real AI system must be able to build its own knowledge. We will emphasize the fundamental role of the user in those processes, showing how the knowledge built that way is anchored in the interactions between the user and the system.

We will study different situation of knowledge-building, in particular the use of interaction traces, and collaborative knwoledge-building on the semantic Web.


When Who What
12/09/2019 (08h-10h) P-A. Champin Introduction: managing dynamics in knowledge engineering
12/09/2019 (10h-12h) B. Fuchs Case-based reasoning
19/09/2019 (10h-12h) P-A. Champin The semantic Web: AI meets the Web
24/09/2019 (14h-16h) L. Medini Iterative reasoning
24/09/2019 (16h-18h) L. Medini Iterative reasoning (TD)
25/09/2019 (14h-16h) L. Medini Iterative reasoning (TP)
03/10/2019 (08h-10h) P-A. Champin Trace models and meta-models
03/10/2019 (10h-12h) P-A. Champin Trace transformation and visualization
08/10/2019 (14h-16h) F. Laforest Stream reasoning
11/10/2019 (10h-12h) P-A. Champin Project
17/10/2019 (08h-10h) B. Fuchs Interactive Knowledge Discovery
18/10/2019 (08h-10h) P-A. Champin Project
24/10/2019 (08h-10h) P-A. Champin Project
05/11/2019 (10h-12h & 14h-16h)   Project presentations
12/11/2019 (14h-16h)   Exam


This module is evaluated through:

  • a written exam (1h30, 50% of the final grade)
  • a project (15% for the presentation, 20% for the report)
  • practical work (15%)