Une architecture orientée service web pour la constitution de minicubes SOLAP pour clients mobiles

Dubé, Étienne; Badard, Thierry; Bédard, Yvan

doi:10.3166/geo.19.211-230

Cited by 1 publication

(2 citation statements)

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“…Furthermore, GeoBI systems, by providing an intelligent coupling of geospatial and Business Intelligence technologies have specifically extended the capacity of data analysis by bringing spatio-temporal data support, cartographic visualization and spatial analysis capabilities. Except Spatial OLAP Mobile [3], the mobile DSSs aforementioned are not geospatially-extended.…”

Section: Introductionmentioning

confidence: 99%

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Mobile and Context-Aware GeoBI Applications: A Multilevel Model for Structuring and Sharing of Contextual Information

Diallo¹,

Badard²,

Hubert³

et al. 2012

JGIS

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With the requirements for high performance results in the today's mobile, global, highly competitive, and technology-based business world, business professionals have to get supported by convenient mobile decision support systems (DSS). To give an improved support to mobile business professionals, it is necessary to go further than just allowing a simple remote access to a Business Intelligence platform. In this paper, the need for actual context-aware mobile Geospatial Business Intelligence (GeoBI) systems that can help capture, filter, organize and structure the user's mobile context is exposed and justified. Furthermore, since capturing, structuring, and modeling mobile contextual information is still a research issue, a wide inventory of existing research work on context and mobile context is provided. Then, step by step, we methodologically identify relevant contextual information to capture for mobility purposes as well as for BI needs, organize them into context-dimensions, and build a hierarchical mobile GeoBI context model which 1) is geo-spatial-extended; 2) fits with human perception of mobility; 3) takes into account the local context interactions and information-sharing with remote contexts; and 4) matches with the usual hierarchical aggregated structure of BI data.

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Section: Introductionmentioning

confidence: 99%

“…Thanks to the emergence of pervasive and mobile computing technologies, several mobile DSSs have been proposed amongst: Hand-OLAP [1], Mobile-OLAP [2], Spatial OLAP Mobile [3], MoBI [4], and Go! Mobile [5].…”

Section: Introductionmentioning

confidence: 99%