Abstract
SOLAP systems are technologies intended to support geographic business intelligence. They allow decision-makers to explore and analyze a large amount of geo-referenced data usually through interactive browsing user interfaces. In this paper, we explore a new interactive methodology which supports users to query and aggregate this kind of structured data by means of specific visual notations. The widely recognized capability of visual query languages to bridge the gap between users’ expertise and advanced query formulation adds effectiveness to the methodology, thus providing a useful support for posing correct SOLAP expressions by spatially arranging visual metaphors in a simple and intuitive way.
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References
Bédard, Y., Proulx, M., Rivest, S., Badard, T. (2006) Merging Hypermedia GIS with Spatial On-Line Analytical Processing: Towards Hypermedia SOLAP. Geographic Hypermedia: Concepts and Systems, Springer, Berlin-Heidelberg, 167-185
Cabibbo, L. and Torlone, R. (1998) From a Procedural to a Visual Query Language for OLAP. In Procs of the Intl. Conference on Scientific and Statistical Database Management, Capri, Italy. IEEE Computer Society, 74-83.
Catarci, T., Costabile, M.F., Levialdi, S., Batini, C. (1997) Visual Query Systems for Databases: a Survey. Journal of Visual Languages and Computing 8(2) 215-260.
Egenhofer, M.(1997) Query Processing in Spatial Query by Sketch, Journal of Visual Languages and Computing 8(4) 403-424.
Ferri, F. Grifoni, P., Rafanelli, M. (2005) The Sketch Recognition and Query Interpretation by GSQL, aGeographical Sketch Query Language. In Proceedings of CIT 2005, 34-38
Ferri, F., Pourabbas, E., Rafanelli, M. (2002) The syntactic and semantic correctness of pictorial configuration query geographic databases by PQL, in: Proceedings of the 17th ACM Annual Symposium on Applied Computing (ACM SAC2002), Madrid, Spain, 432-437.
GeoMondrian, available at http://geosoa.scg.ulaval.ca/en/index.php?module=pagemaster&PAGE_user_op=view_page&PAGE_id=19
Inmon W.H. (1996) Building the Data Warehouse. Wiley, New York.
Kaushik, S., Rundensteiner, E. (2001) SEE: A Spatial Exploration Environment Based on a Direct-Manipulation Paradigm, IEEE Transactions on Knowledge and Data Engineering, 13 (4), 2001, pp: 654 – 670
Paolino L., Laurini, R., Sebillo, M., Tortora, G., Vitiello, G. (2009) Phenomena – A Visual Environment for Querying Heterogenous Spatial Data, Journal of Visual Languages and Computing, Vol. 20(6) December 2009, pp.420-436
Malinowski, E., Zimányi, E. (2008). Advanced Data Warehouse Design From Conventional to Spatial and Temporal Applications. Berlin, Springer
Meyer, B. (1992) Beyond Icons: Towards new metaphors for visual query languages for spatial information systems, in: Proceedings of International Workshop on Interfaces to Database Systems (IDS 92), Glasgow, UK, 113-135.
Morris, A.J., Abdelmoty, A.I., El-Geresy, B.A., Jones C.B. (2004) A Filter Flow Visual Querying Language and Interface for Spatial Databases, GeoInformatica 8(2) 107-141.
Pourabbas, E. and Rafanelli, M. (2002) A Pictorial Query Language for Querying Geographic Databases using Positional and OLAP Operators. SIGMOD Record,31,2,22-27
Rafanelli, M. (2003). Operators for Multidimensional Aggregate Data. In: Multidimensional databases: problems and solutions. Hershey, PA, USA: IGI Publishing.
Ravat, F., Teste, O., Tournier, R. and Zurfluh, G. (2007) Graphical Querying of Multidimensional Databases. In Proceedings of the Advances in Databases and Information Systems, September 29-October 3, 2007, Bulgaria. Berlin, Springer, 298-313.
Rivest, S., Bédard, Y., Proulx, M., Nadeaum, M., Hubert, F. and Pastor, J. (2005) Solap: Merging Business Intelligence With Geospatial Technology For Interactive Spatio-Temporal Exploration And Analysis Of Data. Journal Of International Society For Photogrammetry And Remote Sensing, 60, 1, 17-33.
Trujillo, J., Glorio, O. (2009) Designing Data Warehouses for Geographic OLAP Querying by Using MDA. ICCSA (1): 505-519
Trujillo, J., Palomar, M., Gomez, J., Song, Il-Y. (2001) Designing Data Warehouses With OO Conceptual Models. Computer, 34, 12, 6
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Bimonte, S., Fatto, V.D., Paolino, L., Sebillo, M., Vitiello, G. (2010). A Visual Query Language for Spatial Data Warehouses. In: Painho, M., Santos, M., Pundt, H. (eds) Geospatial Thinking. Lecture Notes in Geoinformation and Cartography, vol 0. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12326-9_3
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DOI: https://doi.org/10.1007/978-3-642-12326-9_3
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