@book{HerzbergWeske2013,
  author    = {Herzberg, Nico and Weske, Mathias},
  title     = {Enriching raw events to enable process intelligence : research challenges},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  isbn      = {978-3-86956-241-4},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-64012},
  publisher      = {Universit{\"a}t Potsdam},
  pages     = {30},
  year      = {2013},
  abstract  = {Business processes are performed within a company's daily business. Thereby, valuable data about the process execution is produced. The quantity and quality of this data is very dependent on the process execution environment that reaches from predominantly manual to fullautomated. Process improvement is one essential cornerstone of business process management to ensure companies' competitiveness and relies on information about the process execution. Especially in manual process environments data directly related to the process execution is rather sparse and incomplete. In this paper, we present an approach that supports the usage and enrichment of process execution data with context data - data that exists orthogonally to business process data - and knowledge from the corresponding process models to provide a high-quality event base for process intelligence subsuming, among others, process monitoring, process analysis, and process mining. Further, we discuss open issues and challenges that are subject to our future work.},
  language  = {de}
}