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2008
Introduction. Chapter 1. From Prevention to Risk Management: Use of GIS ( Sophie SAUVAGNARGUES-LESAGE ). 1.1. Introduction. 1.2. GIS and public security. 1.3. Examples of applications for public security. 1.4. Prospects for development. 1.5. Conclusion. 1.6. Bibliography. Chapter 2.
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Introduction. Chapter 1. From Prevention to Risk Management: Use of GIS ( Sophie SAUVAGNARGUES-LESAGE ). 1.1. Introduction. 1.2. GIS and public security. 1.3. Examples of applications for public security. 1.4. Prospects for development. 1.5. Conclusion. 1.6. Bibliography. Chapter 2.
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Spatial Information Management
2004Location is an inherent part of business data: organizations maintain customer address lists, own property, ship goods from and to warehouses, manage transport flows among their workforce, and perform many other activities. A majority of these activities entail managing locations of different types of entities, including customers, property, goods, and
Ravi Kothuri +2 more
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A prototype Spatial Data Management System
ACM SIGGRAPH Computer Graphics, 1980Spatial Data Management is a technique for organizing and retrieving information by positioning it in a spatial framework. Data is accessed in a Spatial Data Management System (SDMS) via pictorial representations which are arranged in space and viewed through a computer graphics system.
Christopher F. Herot +3 more
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Introducing Elasticity for Spatial Knowledge Management
International Journal of Knowledge Management, 2008The internal validity of a spatial database can be discovered using the data contained within one or more databases. Spatial consistency includes topological consistency, or the conformance to topological rules. Discovery of inconsistencies in spatial data is an important step for improvement of spatial data quality as part of the knowledge management ...
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On Managing Spatial Hypermedia with Document Stores
Proceedings of the 2nd International Workshop on Human Factors in Hypertext, 2019In spatial hypertext, linking is implicit. Users can use spatial and visual attributes, such as proximity, shape, or color, to describe the information space. Spatial hypertext models are special. For example, they need a flexible handling of attributes. Using a relational database management system (DBMS) in the backend, leads to an impedance mismatch
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Managing uncertainty of large spatial databases
SIGSPATIAL Special, 2016Spatial data are prevalent in location-based services (LBS), sensor networks, and RFID monitoring systems. Data readings collected in these applications are often imprecise. The uncertainty in the data can arise from multiple sources, including measurement errors due to the sensing instrument and discrete sampling of the measurements.
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2012
Spatial database management deals with the storage, indexing, and querying of data with spatial features, such as location and geometric extent. Many applications require the efficient management of spatial data, including Geographic Information Systems, Computer Aided Design, and Location Based Services.
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Spatial database management deals with the storage, indexing, and querying of data with spatial features, such as location and geometric extent. Many applications require the efficient management of spatial data, including Geographic Information Systems, Computer Aided Design, and Location Based Services.
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Relational Algebra for Spatial Data Management
1999An extension to the relational model is defined for the management of spatial data. The model adopts a radically new methodology for the formalization of three spatial data types, point, line and surface, based on a definition for spatial quanta. A relational algebra is next defined whose operations are closed and their result is defined uniquely. Most
Nikos A. Lorentzos +2 more
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Management of Large Spatial Ontology Bases
2007In this paper we propose a method for efficient management of large spatial ontologies. Current spatial ontologies are usually represented using an ontology language, such as OWL and stored as OWL files. However, we have observed some shortcomings using this approach especially in the efficiency of spatial query processing.
Evangelos Dellis, Georgios Paliouras
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Spatial Uncertainty Management in Pedestrian Navigation
2014Location-based services use location as contextual data to exclude irrelevant services from users. However almost all positioning technologies can only provide a location with a certain degree of accuracy. It is necessary to have a framework which can handle this inaccuracy and other uncertainties in order to provide a better and more adaptive service.
Basiri, Anahid +4 more
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