Difference between revisions of "Spatial Data Discovery and Access"
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:The subsystem focuses on storage and retrieval of bytestreams for arbitrary processes, including but not limited to system processes. | :The subsystem focuses on storage and retrieval of bytestreams for arbitrary processes, including but not limited to system processes. | ||
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== Subsystems == | == Subsystems == | ||
* [[Environmental Service]] | * [[Environmental Service]] |
Revision as of 10:04, 18 May 2012
Discovering geo-spatial information about some points of the ocean can be fundamental for performing data analysis on species behaviour and preferences. Furthermore it can be useful to scientists belonging to different communities who want to share their data or to have a complete vision of the environmental setup of some zones. Geospatial Data Discovery includes functionalities for retrieving environmental information associated to some points or zones, in terms of physical and chemical properties.
This document outlines the design rationale and high-level architecture of such components.
Contents
Overview
Geospatial Data Discovery provides the following facilities:
- the ability to retrieve information which is yet stored and available in the infrastructure;
- the ability to retrieve information which is stored on remote sites, collecting geospatial data;
- the ability to generate information for some points by using kriging when necessary.
The entire system is then based on the following kind of information datasets:
- Stored datasets: some physical or chemical features layer, containing information at a certain resolution, for a certain time period;
- Remote datasets: some physical or chemical features layer, stored on a remote site, to be discovered by means of extraction techniques. They will refer to certain time and resolution;
- Potential datasets: some physical or chemical features which are not stored for some points, but that can be produced by means of geospatial functions like kriging or resampling
In summary, the Geospatial Data Discovery system provide distributed, researchable or to be generated, environmental features associated to geographical points or areas.
Key Features
- uniform model and access API over environmental data
- heterogeneous external datasource investigation;
- uniform access to OGC compliant services;
- pluggable external sources
- a plug-in based architecture allows for easy attachment of new datasources;
- data consumption with OGC standard protocols
- it is possible to produce data under standard protocols like WFS, WCS, WMS etc.;
- it is possible to perform processing requests by means of standard protocols, like WPS;
Subsystems
Geospatial Data Discovery components cluster within the following subsystems, where each subsystem specialises along the structure or the semantics of the data:
- the Tree-Based Access subsystem
- groups components that implement access and storage facilities for structured data of arbitrary semantics, origin, and size.
- The subsystem focuses on uniform access to structured data for cross-domain processes, including but not limited to system processes.
- A subset of the components build on the generic interface and specialise it to data with domain-specific semantics, including document data and semantic data.
- the Biodiversity Access subsystem
- groups components that implement access and storage facilities for structured data with biodiversity semantics and arbitrary origin and size;
- The subsystem focuses on uniform access to biodiversity data for domain-specific processes and feeds into the Tree-Based Access subsystem.
- the File-Based Access subsystem
- groups components that implement access and storage facilities for unstructured data with arbitrary semantics and size;
- The subsystem focuses on storage and retrieval of bytestreams for arbitrary processes, including but not limited to system processes.