Knowledge engineering

We always operate in a partial brownfield project; there is always some legacy industry, corporate, project, team, or personal knowledge. That's why we must learn how to find relevant concepts in documents and build on them, developing them to the required extent. Also, we must adapt knowledge to the specifics of the situation, find relevant people, and be able to reflect on experience. Those are requirements for state-of-the-art knowledge and natural language processing systems. Let's go through our case study and do all those steps.