Notice: this Wiki will be going read only early in 2024 and edits will no longer be possible. Please see: https://gitlab.eclipse.org/eclipsefdn/helpdesk/-/wikis/Wiki-shutdown-plan for the plan.
Difference between revisions of "PDS Architecture"
(→HBX) |
(→HBX) |
||
| Line 27: | Line 27: | ||
* .bx.abx-chrome | * .bx.abx-chrome | ||
* .bx.abx-common | * .bx.abx-common | ||
| + | * .js.pds.cde - connection data engine | ||
* .js.pds.connector.common | * .js.pds.connector.common | ||
Revision as of 15:57, 4 November 2011
{{#eclipseproject:technology.higgins|eclipse_custom_style.css}}
This document describes the top level Higgins 2.0 PDS components under active development. Here are the bugzilla component names:
- H2-Client
- H2-HBX
- H2-PDS
- H2-PDS Support
- H2-ADS
- H2-Data Model
Contents
Front End
There are two front end components: a web client, and a browser extension.
Client
The client is written in HTML and JavaScript and runs in any desktop browser (e.g. IE, FF, Safari, Chrome). In the future we also plan to make it display well on the limited screen size of smartphone mobile browser (e.g. iPhone, Android, etc.).
HBX
The Higgins browser extension makes possible functionality like browser-side integration with other web APIs and sites, scraping and form filling.
- .bx.abx-chrome
- .bx.abx-common
- .js.pds.cde - connection data engine
- .js.pds.connector.common
Back End Components
There are three back end components mostly written in Java and running in the cloud (e.g. Amazon AWS):
- PDS
- PDS Support
- ADS
PDS
PDS Subcomponents:
- .pds.usermanager.ws - simple web service to manage user accounts, change password, etc.
PDS Support
PDS Support Subcomponents:
- .pds.client - wrapper around Open Anzo java client
Attribute Data Storage
ADS Subcomponents:
- PLANNED: .ads.ld - Linked Data endpoint
Data Model
Data attributes whether created by the user or imported from an external service are stored in a common data model. This allows them to be consistently displayed to, and in some cases edited by, the user irrespective of its original source. We call this the Persona Data Model 2.0.