IMarine APIs Consolidated Specifications

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Overview

This page contains an overview about the specifications provided by the iMarine, along with links to the specifications' subsystems, and to the Developer's guides. The main aim is to provide a summary of the existing APIs at different granularities. The facilities regard the APIs produced in iMarine and are split into two main categories: Data Management APIs and Data Consumption APIs.

Key Features

The iMarine APIs provide the following key features:

Data Management & Data Consumption APIs

Consistency across different client APIs
Uniformity for APIs across standalone framework layers in inputs and outpus, context management, fault management, operation modes provision, etc.
Transparent system integration
Design of APIs simplifying client usage, with respect to requirements specific to the system
Environment propagation
Operational information among services transparently propagated over a range of protocols (SOAP, HTTP/S, and more)
Testability ensuring
Design solutions that facilitate testing for clients
Support to standards
Crucial functionalities are accessible via recognized standards in order to enhance interoperability
Compatibility endorsement
Exploitation of framework simplifying building of modular systems


APIs Categories

Data Management APIs

Data Access and Storage APIs
that support both client and back-end access to a range of structured and unstructured data sources available in the Data e-Infrastructure. They include Web Service APIs, local client APIs, data model implementations, auxiliary APIs, and development frameworks for service plugins.
Data Transfer APIs
that provide access to transfer mechanisms for large sets of multi-type datasets distributed across the infrastructure.
Data Assessment and Harmonisation APIs
that provide access to services that handle heterogeneous sources with different data types as well as behavior

Data Consumption APIs

Data Retrieval APIs
that provide access to Information Retrieval facilities over heterogeneous environments, offer an approach for querying the information and allow easy integration of external data sources of information.
Data Manipulation APIs
that provide access to transformation facilities that satisfy system requirements for arbitrary transformation and homogenization of content and metadata.
Semantic Data Analysis APIs
that provide access to facilities linking distributed data across community boundaries, based on the Semantic Web and the publication of expressive metadata in a shared knowledge framework.

Specifications

The specifications require preparatory information to be properly understood. In particular:

How to Develop a gCube Component
A basic guide to build a gCube Component
Buiding Components using the gCube Fetherweight Stack
A guide to develop libraries or clients for the gCube Services
Developer's Guide
the overall gCube Developer's Guide


Task oriented specifications can be found in the following:

Data Management APIs
the specifications for the Data Management APIs
Data Consumption APIs
the specifications for the Data Consumption APIs

GCube APIs: