Amirian, Pouria and Winstanley, Adam C. and Basiri, Anahid
(2013)
NoSQL storage and management of geospatial data with emphasis on
serving geospatial data using standard geospatial web services.
In: GIS Research UK (GISRUK) 2013, 3-5 April 2013, University of Liverpool.
Abstract
Today a huge amount of geospatial data is being created, collected and used more than ever
before. The ever increasing observations and measurements of geo-sensor networks, satellite
imageries, point clouds from laser scanning, geospatial data of Location Based Services
(LBS) and location-based social networks has become a serious challenge for data
management and analysis systems. Traditionally, Relational Database Management Systems
(RDBMS) were used to manage and to some extent analyse the geospatial data. Nowadays
these systems can be used in many scenarios but there are some situations when using these
systems may not provide the required efficiency and effectiveness. In these situations,
NoSQL solutions can provide the efficiency necessary for applications using geospatial data.
It is important to differentiate between the physical way a NoSQL product is implemented,
and the interfaces, coding and access methods they use for the abstraction of data. This paper
provides an overview of the major types of NoSQL solutions, their advantages and
disadvantages and the challenges they present in managing geospatial data. Then the paper
elaborates on serving geospatial data using standard geospatial web services with a NoSQL
database as a backend.
| Item Type: |
Conference or Workshop Item
(Paper)
|
| Keywords: |
big geospatial data; NOSQL; geospatial web service; |
| Academic Unit: |
Faculty of Science and Engineering > Computer Science |
| Item ID: |
6473 |
| Depositing User: |
Dr. Adam Winstanley
|
| Date Deposited: |
19 Oct 2015 14:56 |
| Refereed: |
Yes |
| URI: |
|
| Use Licence: |
This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available
here |
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