Artikel in Tagungsband INPROC-2009-86

Bibliograph.
Daten
Grossmann, Matthias; Hönle, Nicola; Lübbe, Carlos; Weinschrott, Harald: An Abstract Processing Model for the Quality of Context Data.
In: Proceedings of the 1st International Workshop on Quality of Context.
Universität Stuttgart : Sonderforschungsbereich SFB 627 (Nexus: Umgebungsmodelle für mobile kontextbezogene Systeme).
S. 132-143, englisch.
Springer, Juni 2009.
Artikel in Tagungsband (Workshop-Beitrag).
CR-Klassif.H.2.8 (Database Applications)
Keywordsuncertainty; inconsistency; trust; processing model
Kurzfassung

Data quality can be relevant to many applications. Especially applications coping with sensor data cannot take a single sensor value for granted. Because of technical and physical restrictions each sensor reading is associated with an uncertainty. To improve quality, an application can combine data values from different sensors or, more generally, data providers. But as different data providers may have diverse opinions about a certain real world phenomenon, another issue arises: inconsistency. When handling data from different data providers, the application needs to consider their trustworthiness. This naturally introduces a third aspect of quality: trust. In this paper we propose a novel processing model integrating the three aspects of quality: uncertainty, inconsistency and trust.

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KontaktMatthias.Grossmann@ipvs.uni-stuttgart.de
Abteilung(en)Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Verteilte Systeme
Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Anwendersoftware
Projekt(e)SFB-627, B1 (Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Anwendersoftware)
SFB-627, B5 (Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Anwendersoftware)
SFB-627, B3 (Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Verteilte Systeme)
Eingabedatum2. November 2009
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