Results 281 to 290 of about 481,845 (319)
Some of the next articles are maybe not open access.
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
openaire +1 more source
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.
openaire +1 more source
Managing the complexity of match in retrieval by spatial arrangement
Proceedings 10th International Conference on Image Analysis and Processing, 2003Image retrieval by spatial arrangement underlies a matching algorithm, which "interprets" entities specified in the user query on the entities appearing in the image of the database, and which jointly compares their features and their spatial relationships. In this paper we provide a graph-theoretical formulation and we discuss the size for the problem
BERRETTI, STEFANO +2 more
openaire +2 more sources
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.
openaire +2 more sources
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.
openaire +2 more sources
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
openaire +1 more source
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
openaire +1 more source
Uncertain Spatial Data Management: An Overview
2020Both the current trends in technology such as smart phones, general mobile devices, stationary sensors, and satellites as we as a new user mentality of using this technology to voluntarily share enriched location information produces a flood of geo-spatial and geo-spatio-temporal data.
openaire +2 more sources
Managing Collapsed Surfaces in Spatial Constraints Validation
2010In recent years many Spatial Data Infrastructures (SDI) have been built or are under construction in several European countries and geographical data have been collected in many different ways, sometimes following traditional approaches (like, remote sensing techniques of photogrammetry and topography) or more “up to date” methods (like, GPS or others).
A. Belussi +3 more
openaire +2 more sources
Spatial is not Special: Managing Tracking Data in a Spatial Database
2014A wildlife tracking data management system must include the capability to explicitly deal with the spatial properties of movement data. GPS tracking data are sets of spatiotemporal objects (locations), and the spatial component must be properly managed. You will now extend the database built in Chaps.
Ferdinando Urbano, Mathieu Basille
openaire +1 more source
On Aggregation Issues in Spatial Data Management.
2002Large amounts of information can be overwhelming and costly to process, especially when transmitting data over a network. A typical modern Geographical Information System (GIS) brings all types of data together based on the geographic component of the data and provides simple point-and-click query capabilities as well as complex analysis tools ...
Indulska, Marta K., Orlowska, Maria E.
openaire +2 more sources