In current practice, knowledge-workers and decision-makers are confronted with a continuously increasing amount of data, which makes it difficult for them to perform their tasks in an effective and efficient manner. However, both the quality and quantity of available information influence problem solving, decision making, and performance of knowledge-intensive tasks. Particularly challenging in this context is the alignment of process-related information (e.g., working instructions, best practices) with business processes. In fact, process-related information and business processes are usually managed separately. Our approach to bridge this gap is process-oriented information logistics (POIL). POIL enables the process-oriented and context-aware delivery of relevant process information to knowledge-workers. In this talk, we present two algorithms for identifying relevant process information in POIL. We use a running example to demonstrate the applicability of our algorithms as well as their benefits.
PhD Seminar, Bernd Michelberger, Room: O27/545, Time: 10:30 am, Date: January 24, 2013