Capturing Context in Collaborative Profiles
Citation
Export citationJung, D. & Hinze, A.(2005). Capturing Context in Collaborative Profiles. In Proceedings of the OTM Confederated International Workshops and Posters, AWeSOMe, CAMS, GADA, MIOS+INTEROP, ORM, PhDS, SeBGIS, SWWS, and WOSE 2005, Agia Napa, Cyprus, October 31 - November 4, 2005(pp. 152-155). Berlin: Springer.
Permanent Research Commons link: https://hdl.handle.net/10289/1392
Abstract
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.
Date
2005Publisher
Springer, Berlin