Difference between revisions of "Data Retrieval Facilities"

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Data Retrieval Facilities
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== Overview ==
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gCube provides Information Retrieval facilities over large heterogeneous
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environments. Sources of information that use different technologies, data
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representation and semantics can be integrated and exploited by gCube's
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Data Retrieval framework. The architecture and mechanisms provided by the
 +
framework ensure flexibility, scalability, high performance and availability.
 +
 
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The gCube Data Retrieval Framework aims at hiding the complexity of the
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underlying environment by:
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*  providing a declarative approach for querying the hosted information
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*  scaling to the number of hosted information sources
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*  Integrating dynamically external sources of information
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== Key Features ==
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;Declarative Query Language over a heterogeneous environment
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: Context ...
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;On the fly integration of Data Sources
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: Context ...
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;Scalability in the number of Data Sources
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: Context ...
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;Direct Integration of External Information Providers
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: Context ...
 +
 
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;Indexing Capabilities for Replication and High Availability
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: Context ...
 +
 
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;Distributed Execution Environment offering High Performance and Flexibility
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: Context ...
 +
 
 +
 
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== Subsystems ==
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Data Retrieval framework comprises the following two subsystems:
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[[Search Planning and Execution Specification]]
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[[Data Sources Specification]]

Revision as of 18:31, 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
Context ...
On the fly integration of Data Sources
Context ...
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:

Search Planning and Execution Specification

Data Sources Specification