Difference between revisions of "Data Retrieval Facilities"
From Gcube Wiki
(→Key Features) |
(→Key Features) |
||
| Line 19: | Line 19: | ||
;On the fly integration of Data Sources | ;On the fly integration of Data Sources | ||
| − | : | + | : A Data Source that publishes its Information Retrieval capabilities can be on-the-fly involved in the IR process. |
;Scalability in the number of Data Sources | ;Scalability in the number of Data Sources | ||
Revision as of 18:57, 2 March 2012
Overview
gCube provides Information Retrieval facilities over large heterogeneous environments. Sources of information that use different technologies, data representation and semantics can be integrated and exploited by gCube's Data Retrieval framework. The architecture and mechanisms provided by the framework ensure flexibility, scalability, high performance and availability.
The gCube Data Retrieval Framework aims at hiding the complexity of the underlying environment by:
- providing a declarative approach for querying the hosted information
- scaling to the number of hosted information sources
- Integrating dynamically external sources of information
Key Features
- Declarative Query Language over a heterogeneous environment
gCube Data Retrieval framework unifies Data Sources that use different data representation and semantics through the Contextual Query Language standard.
- On the fly integration of Data Sources
- A Data Source that publishes its Information Retrieval capabilities can be on-the-fly involved in the IR process.
- Scalability in the number of Data Sources
- Context ...
- Direct Integration of External Information Providers
- Context ...
- Indexing Capabilities for Replication and High Availability
- Context ...
- Distributed Execution Environment offering High Performance and Flexibility
- Context ...
Subsystems
Data Retrieval framework comprises the following two subsystems:
