In various application areas for alerting systems, the context and knowledge of several parties affect profile definition and filtering. For example, in Healthcare nurses, doctors and patient influence the treatment process. Thus, profiles for alerting systems have to be generated by the explicit collaboration of several parties who may not know each other directly. We propose the new concept of collaborative profiles to capture these different conditions and contexts. These profiles exploit each single party's expert-knowledge for defining the context under which (health-related) alerting is required. Challenges include the definition and refinement of profiles as well as conflict detection in context definitions. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Jung, D., & Hinze, A. (2005). Capturing context in collaborative profiles. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3762 LNCS, pp. 152–155). Springer Verlag. https://doi.org/10.1007/11575863_31
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