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Capturing Context in Collaborative Profiles

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3762))

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.

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© 2005 Springer-Verlag Berlin Heidelberg

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Jung, D., Hinze, A. (2005). Capturing Context in Collaborative Profiles. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems 2005: OTM 2005 Workshops. OTM 2005. Lecture Notes in Computer Science, vol 3762. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11575863_31

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  • DOI: https://doi.org/10.1007/11575863_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29739-0

  • Online ISBN: 978-3-540-32132-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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