Difference between revisions of "Data Assessment and Harmonisation APIs"
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* '''Framework''': [https://gcube.wiki.gcube-system.org/gcube/index.php/Integration_and_Interoperability_Facilities_Framework:_Client_Libraries CL] | * '''Framework''': [https://gcube.wiki.gcube-system.org/gcube/index.php/Integration_and_Interoperability_Facilities_Framework:_Client_Libraries CL] | ||
* '''Key Features''': | * '''Key Features''': | ||
| + | :* ''transparent endpoint discovery and caching'' | ||
| + | :* ''transparent fault tolerance over endpoint replicas'' | ||
* '''Wiki Doc''': | * '''Wiki Doc''': | ||
Revision as of 14:04, 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: Client proxies for ODM endpoints.
- Type: Java
- Protocol: Local
- Framework: CL
- Key Features:
- transparent endpoint discovery and caching
- transparent fault tolerance over endpoint replicas
- Wiki Doc:
