Abstract
Today’s knowledge workers are confronted with a high load of heterogeneous information making it difficult for them to identify the information relevant for performing their tasks. Particularly challenging is thereby the alignment of process-related information (process information for short), such as e-mails, office files, forms, checklists, guidelines, and best practices, with business processes. In previous work, we introduced the concept of process-oriented information logistics (POIL) to bridge this gap. POIL allows for the process-oriented and context-aware delivery of relevant process information to knowledge workers. So far, we have introduced concepts to integrate business processes with process information. A remaining challenge is to identify the process information relevant for a given process context. This paper tackles this challenge and extends our POIL approach with techniques and algorithms for identifying relevant process information. More specifically, we introduce two algorithms for determining the relevance of process information based on their link and rate popularity. We use a scenario from the automotive domain to demonstrate and validate the applicability of our approach.
This paper was done in the niPRO research project. The project is funded by the German Federal Ministry of Education and Research (BMBF) under grant number 17102X10. More information can be found at http://www.nipro-project.org
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Michelberger, B., Mutschler, B., Hipp, M., Reichert, M. (2013). Determining the Link and Rate Popularity of Enterprise Process Information. In: Meersman, R., et al. On the Move to Meaningful Internet Systems: OTM 2013 Conferences. OTM 2013. Lecture Notes in Computer Science, vol 8185. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41030-7_8
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