Difference between revisions of "Data Assessment and Harmonisation APIs"

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(Occurrence Data Management)
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* [[Time_Series_Management|'''Documentation''']]
 
* [[Time_Series_Management|'''Documentation''']]
 
==Occurrence Data Management==
 
==Occurrence Data Management==
* '''Description''':  
+
* '''Description''': a set of features for performing assessment and harmonization on occurrence points of species
 
* '''Type''': gCube Web Service
 
* '''Type''': gCube Web Service
 
* '''Protocol''': SOAP
 
* '''Protocol''': SOAP
 
* '''Framework''': gCore
 
* '''Framework''': gCore
 
* '''Key Features''':
 
* '''Key Features''':
* '''Wiki Doc''':  
+
** Occurrence Points Enrichment
 +
** Occurrence Points visualization, aggregation and transformation
 +
** Merge, Subtraction and Intersection operations
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** Points Clustering
 +
** Anomaly Point Detection
 +
* '''Wiki Doc''': [https://gcube.wiki.gcube-system.org/gcube/index.php/Occurrence_Data_Reconciliation Occurrence Data Reconciliation]
 +
 
 
==Odm-client-library==
 
==Odm-client-library==
 
* '''Description''':  
 
* '''Description''':  

Revision as of 12:03, 2 July 2012

Data Assessment and Harmonisation APIs provide access to services that deal with a great heterogeneity of data sources having different characteristics both in terms of data types they offer and of data behavior differentiating across the same type. This page outlines the design rationale for those APIs.

Overview

Name Description Type Protocol Framework
Time-Series-Service gCube Web Service SOAP gCore
Occurrence Data Management gCube Web Service SOAP gCore
Odm-client-library Java Local CL

Time-Series-Service

  • Description:
  • Type: gCube Web Service
  • Protocol: SOAP
  • Framework: gCore
  • Key Features:
  • Documentation

Occurrence Data Management

  • Description: a set of features for performing assessment and harmonization on occurrence points of species
  • Type: gCube Web Service
  • Protocol: SOAP
  • Framework: gCore
  • Key Features:
    • Occurrence Points Enrichment
    • Occurrence Points visualization, aggregation and transformation
    • Merge, Subtraction and Intersection operations
    • Points Clustering
    • Anomaly Point Detection
  • Wiki Doc: Occurrence Data Reconciliation

Odm-client-library

  • Description:
  • Type: Java
  • Protocol: Local
  • Framework: CL
  • Key Features:
  • Wiki Doc: