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Utilization of an Expert System for the Analysis of Semantic Characteristics for Improved Conflation in Geographical Systems
Published in Don Potter, Manton Matthews, Moonis Ali, Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 2020
Harold Foley, Fred Petry, Maria Cobb, Kevin Shaw
The need to handle imprecise and uncertain information concerning spatial data has been widely recognized in recent years [Goo90, Bur96] particularly in the field of geographical information systems (GIS). GIS is a rather general term for a number of approaches to the management of cartographic information. Most definitions of a GIS [Mag91] describe it as an organized collection of software systems and geographic data able to represent, store and provide access for all forms of geographically referenced information. At the heart of a GIS is a spatial database. The spatial information describes the location and shape of geographic features in terms of points, lines and areas. This is essentially a map represented in the database by means of cartographic features and techniques. The location data has corresponding descriptive information about the geographic features.
Bridges to GIS software
Published in Robin Lovelace, Jakub Nowosad, Jannes Muenchow, Geocomputation with R, 2019
Robin Lovelace, Jakub Nowosad, Jannes Muenchow
Spatial database management systems (spatial DBMS) store spatial and non-spatial data in a structured way. They can organize large collections of data into related tables (entities) via unique identifiers (primary and foreign keys) and implicitly via space (think for instance of a spatial join). This is useful because geographic datasets tend to become big and messy quite quickly. Databases enable storing and querying large datasets efficiently based on spatial and non-spatial fields, and provide multi-user access and topology support.
A survey on spatial, temporal, and spatio-temporal database research and an original example of relevant applications using SQL ecosystem and deep learning
Published in Journal of Information and Telecommunication, 2020
Kulsawasd Jitkajornwanich, Neelabh Pant, Mohammadhani Fouladgar, Ramez Elmasri
Real-world spatial objects are stored and managed by a spatial database management system (SDBMS) where spatial capabilities including spatial data models and operations are provided. The spatial(-temporal) objects are not limited to 2D or geographic/geometry data. They can also be 3D (or higher) data and are in other domains such as a 3D scan of the brain of a patient or the composition of molecular proteins in humans (Shashi & Sanjay, 2003).