The primary objectives of this project can be summarized as follows:
Develop a system capable of extracting relevant knowledge, concepts, instances, and relationships from two key sources:
- Project Management Institute's (PMI) Corpus: Specifically, the PMBOK (Project Management Body of Knowledge) 6th edition.
- PMI's Standard for Project Risk Management (PRM): Extracting knowledge from PMI's standard for PRM.
This step involves the application of Natural Language Processing (NLP) techniques using transformer models.
Automatically structure and represent the acquired project management knowledge into machine-readable formats
This step involves machine learning and deep learning techniques to create ontological elements.
Develop a recommendation system based on the constructed conceptual graph. This system will encapsulate the interdependencies between project management concepts and provide:
- Personalized recommendations
- Advice to project stakeholders based on their queries and profiles
Implement a web-based system to support project practitioners, including:
- Project Managers
- Risk Owners
- Risk Action Owners
This system will facilitate their decision-making processes by providing:
- Real-time personalized recommendations
- Relevant project-related information