Thèse de doctorat en Informatique
Sous la direction de Yann Pollet.
An ontogical framework for system engineering knowledge modeling, capitalization and sharing
Pas de résumé disponible.
This thesis deals with Knowledge Management issue in Technical System Engineering (SE) Processes. These processes could be considered as a continuous knowledge creation space. In fact, SE projects generate multiple artifacts presenting different formalization degree, such as requirements specification, system architecture, and hardware/ software components. Transitions between project phases stem from decision making processes supported both by generally available domain knowledge and engineering experiences. Most often, this knowledge is only known implicitly, relying heavily on system engineer’s personal background. To fully exploit this intellectual capital, it must be explicited and shared among project teams. To address this issue we propose a generic ontological framework for formal and consensual modelling of SE know-how. We study the potential application of this framework for describing SE project experiences, entitled Situated Explicit Engineering Knowledge (SEEK). To manage these experiences we introduce two conceptual models: - A knowledge capitalization model for SEEKs: based on semantic annotation of engineering problem resolution records and design rationale. - A knowledge sharing model suggesting potentially relevant SEEK(s) in subsequent engineering projects.