Insights and Knowledge Discovery from Big Geospatial Data Using TMC-Pattern

Big Data ◽  
2014 ◽  
pp. 247-274 ◽  
Keyword(s):  
Knowledge Discovery ◽  
Geospatial Data

Semantic Web Enabled Intelligent Geoprocessing Service Chaining

2011 ◽  
pp. 310-331
Author(s):  
Peng Yue ◽  
Lianlian He ◽  
Liping Di
Keyword(s):  
Semantic Web ◽  
Knowledge Discovery ◽  
Current Approach ◽  
Geospatial Data ◽  
Use Cases ◽  
Prototype System ◽  
General Process ◽  
Research Issues ◽  
Service Oriented ◽  
Geoprocessing Workflow

In a service-oriented environment, large volumes of geospatial data and diverse geoprocessing functions are accessible as services. An intelligent mechanism is required to facilitate discovery and integration of geospatial data and services so as to enable semi-automated or automated geospatial knowledge discovery. This chapter addresses key research issues for Semantic Web enabled intelligent geoprocessing service chaining. A set of applicable solutions are described, including a common data and service environment, semantic descriptions of geoprocessing services, and a general process for intelligent generation of geoprocessing workflow. Some use cases illustrate the applicability of such solutions. A proof-of-concept prototype system is implemented and some use cases help to demonstrate the applicability of the current approach.

Geospatial Data Mining and Knowledge Discovery

2004 ◽  
pp. 365-388 ◽  
Author(s):  
May Yuan ◽  
Barbara P. Buttenfield ◽  
M. N. Gahegan ◽  
Harvey Miller
Keyword(s):  
Data Mining ◽  
Knowledge Discovery ◽  
Geospatial Data
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