Abstract
Business professionals are increasingly mobile and should be supported by suitable mobile Decision Support Systems (DSS). In our previous work, we have established that such suitable mobile DSS should be (i) GeoBI(Geospatial Business Intelligence)-enabled and (ii) context-based, and have addressed issues regarding context characterization and context modeling. The present paper deals with mobile GeoBI context-based reasoning. Through realistic scenarios, it highlights (i) the requirement for context-based reasoning to enhance mobile GeoBI experience, (ii) the need for contextual metrics/statistics to help mobile business professionals discover their local context, (iii) the need for crossing business performance metrics with contextual metrics to help mobile business professionals in discovering the context hidden behind business performance figures, and proposes convenient solutions to tackle these needs.
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Notes
“The call failure rate (CFR) is the percentage of calls to an ISP or any network provider that fail to get through” [51]
An access failure rate is the number of failures divided by the total number of attempts [52].
“A drop call is defined as a traffic channel that is released by either the base station or the mobile without the consent of the mobile user. The dropped call rate is defined as the total number of dropped calls divided by the total number of successful call completions during a specified period [52].”
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Diallo, B.A.A., Badard, T., Hubert, F. et al. Context-based mobile GeoBI: enhancing business analysis with contextual metrics/statistics and context-based reasoning. Geoinformatica 18, 405–433 (2014). https://doi.org/10.1007/s10707-013-0187-x
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DOI: https://doi.org/10.1007/s10707-013-0187-x