Extracting and recommending business processes from evidence in natural language systems

This invention describes a computer system that answers user questions by recommending specific business processes. It works by analyzing the user's question to understand its key features, like what it's about and what kind of answer is expected. It then searches through stored business processes, using information from the user's profile, named entity recognition, and fuzzy matching, to find the most relevant ones. The system ranks these processes and presents the best match as a recommendation, potentially offering to trigger that process for the user.