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titleContents of this Page
Table of Contents
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Summary

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Description of the profile

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The query capability must support sophisticated queries such as temporal queries.

Temporal queries will be informed by the metadata but will be formulated and executed by the platform.

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Capabilities

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Requirements traceability

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Requirement

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Source

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Capability

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The wealth of data must be accessible, resulting in the need for exploration of available datasets. This includes the ability to view seamlessly across independent data sets, allowing a secondary user to integrate data from multiple sources. In addition, the query capability must support sophisticated queries such as temporal queries and spatial queries. The semantic infrastructure will provide metadata for discovery of these datasets. Comples temporal and spatial queries will be informed by the metadata but will be formulated and executed by the platform. Link to use case satisfied from caGRID 2.0 Roadmap: The oncologist must be able to quickly find glioblastoma data sets, indicating the fields that he is interested in comparing from his clinical data in order to find similar disease conditions and associated treatment plans. Temporal queries allow clinicians to identify changes in patient condition and treatment over time.

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h5. Summary

h6. Description of the profile

The query capability must support sophisticated queries such as temporal queries.

Temporal queries will be informed by the metadata but will be formulated and executed by the platform.


h6. Capabilities


* [temporalMetadataManagement|#_16_5_1_24a0131_1283376000990_985226_8736]

h5. Requirements traceability


|| Requirement || Source || Capability ||
| The wealth of data must be accessible, resulting in the need for exploration of available datasets. This includes the ability to view seamlessly across independent data sets, allowing a secondary user to integrate data from multiple sources. In addition, the query capability must support sophisticated queries such as temporal queries and spatial queries.    The semantic infrastructure will provide metadata for discovery of these datasets. Comples temporal and spatial queries will be informed by the metadata but will be formulated and executed by the platform.    Link to use case satisfied from caGRID 2.0 Roadmap: The oncologist must be able to quickly find glioblastoma data sets, indicating the fields that he is interested in comparing from his clinical data in order to find similar disease conditions and associated treatment plans. Temporal queries allow clinicians to identify changes in patient condition and treatment over time. | Semantic Infrastructure Requirements::caGRID 2.0 Platform and Terminology Integration::{anchor:_16_5_1_24a0131_1283090067714_358812_4503

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temporalMetadataManagement,

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}Data Exploration and Query | [temporalMetadataManagement|#_16_5_1_24a0131_1283376000990_985226_8736

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], |


h5. {anchor:_16_5_1_24a0131_1283376000990_985226_8736

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Description

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Manage temporal metadata associated with models supported by the Semantic Infrastructure.

Temporal queries will be informed by the managed temporal metadata but will be formulated and executed by the platform.

...

Requirements addressed

...

...

Overview of possible operations

...

}temporalMetadataManagement


h6. Description

Manage temporal metadata associated with models supported by the Semantic Infrastructure.

Temporal queries will be informed by the managed temporal metadata but will be formulated and executed by the platform.

h6. Requirements addressed

* [Data Exploration and Query|#_16_5_1_24a0131_1283090067714_358812_4503]

h6. Overview of possible operations



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