2010 impact factor: 1.357
Call for papers
Special section on “Spatial Data Warehouses and SOLAP”
SUBMISSION DEADLINE EXTENSION
New submission deadline: October 15th, 2012
Dr. Sandro Bimonte, Irstea, Clermont-Ferrand, France
Dr. François Pinet, Irstea, Clermont-Ferrand, France
Dr. André Miralles, UMR TETIS, Montpellier, France
Prof. Petraq Papajorgji, European University of Tirana, Albania
Data Warehouses (DW) and OnLine Analytical Processing (OLAP) tools are used in Business Intelligence (BI) applications in order to support decision-making processes. DW are a specific type of database used to integrate, accumulate and analyze data from various sources. OLAP tools provide means to query and to analyze the warehoused information and produce online statistical summaries (indicators) at different levels of details. These indicators are computed using aggregate functions (e.g. Sum, Avg, Min, Max, etc.). Users can explore DW by performing OLAP operations (e.g., Roll-up, Drill-down, etc.). Data mining algorithms can also be used in DW, aiming towards improving data analysis; these techniques help to discern automatically the correlations and causal links between data.
The increasing availability of geo-referenced data has made necessary the need to enrich OLAP with spatial analysis tools. OLAP systems were successfully adapted to solve problems in different areas of application and new kinds of decision support systems, named Spatial Data Warehouses (SDW) and Spatial OLAP (SOLAP) tools have been made available. SDW are a collection of geographical information supporting spatial analysis. SOLAP tools allow users to perform spatio-temporal exploration of data: these tools combine OLAP analysis with cartographic visualization capabilities of GIS systems. The relevance of SOLAP technology has been widely recognized in several application domains (e.g., marketing, agriculture, environmental risk management, etc.).
Data Warehouses related technologies raise for discussion several research issues from implementation, modeling and visualization point of view. Traditional GIS-based techniques need to be adapted to SDW/SOLAP architectures. The objective of this special section is to present to a wide audience of researchers the latest theoretical and practical advances in the field of SDW and SOLAP.
The topics applied to SDW/SOLAP to be considered for this publication are the followings (the list is non-exhaustive):
– Conceptual, logical and physical modelling
– Extraction, Transformation and Loading (ETL)
– Geographic data integration
– Data quality
– Uncertain, incomplete and imprecise spatial information management
– Integration of SOLAP and data mining techniques
– Performance optimisation and tuning
– Multidimensional modelling and queries
– Evaluation, benchmarking and comparison of SOLAP tools
– Active and Real-time spatial data warehouses
– Integration of spatial analysis methods in Spatial OLAP
– Complex spatial data (field data, multi-representation, etc.)
– Cloud computing
The special section will have 4 full-length papers. Articles are between 5000 and 8000 words. Manuscripts will be reviewed by at least three experts in the field.
Authors should submit their manuscripts online: http://gein.edmgr.com/ (Select “Sp Iss: Spatial Data Warehouses and SOLAP”)
Submission deadline: October 15th, 2012
Submission of a manuscript implies: that the work described has not been published before; that it is not under consideration for publication anywhere else; that its publication has been approved by all co-authors, if any, as well as by the responsible authorities – tacitly or explicitly – at the institute where the work has been carried out.