Abstract
Spatial database systems have become a popular research area since they find applications in diverse fields where there is the need to manage geometric, geographic or spatial data, which means data related to space such as the physical world (geography, urban planning, astronomy), parts of living organisms (body anatomy), engineering design (VLSI circuits, molecular structures) etc. When the earth surface and subsurface are the space of interest, the systems are called the Geographic Information Systems (GIS). A distinguished feature of spatial database systems is the management of sets of entities with a spatial reference, which means that spatial database systems provide operations to deal with the extent, location, and relationships of the spatial elements. However, it is generally recognized that current spatial database systems are inadequate to support typical applications of GIS and CAD, and also for potential applications such as data warehousing. This is the reason that motivates current research aimed at improving the functionalities and the performance of the available spatial database management systems, including the modelling of continuous fields, the management of large data sets and the design of user interfaces for simplifying the user-system interaction [1; 7; 26; 27]. Specifically, current spatial query languages are inadequate to perform spatial analysis for many reasons [3; 7; 14; 20; 25; 27]: one reason is that they force users to formulate their often vague requests by means of crisp selection conditions on spatial data. For many categories of users, such as planners and resource managers, the possibility to express tolerant conditions on conventional and spatial data, and to retrieve discriminated spatial information in decreasing order of relevance, can greatly simplify their spatial
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Bordogna, G., Pagani, M., Psaila, G. (2006). Spatial SQL with Customizable Soft Selection Conditions. In: Bordogna, G., Psaila, G. (eds) Flexible Databases Supporting Imprecision and Uncertainty. Studies in Fuzziness and Soft Computing, vol 203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-33289-8_13
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DOI: https://doi.org/10.1007/3-540-33289-8_13
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