CyberInfrastructure Proposal For EarthCube Community

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This proposal proposes a cyberInfrastructure for long tails scientists to share and discover their data. Proposed system mainly supports three scenarios which can be identified in separate work flows.

Publishing Legacy(change) Data

Publishing Data in Digital Format

Publishing Data in Linked Data

Architecture

Architecture2.png

  • Data Registry

Data publishers will register their data through the data registry and important provenance information such as author, location and etc will be collected.

  • Annotator

Registered data will be annotated using standard vocabularies such as (GCMD and AGI index) which is stored in a vocabulary registry. Annotation tools will suggest the possible matches for the user and user will have the ability to further refine the suggestions given by the system. Annotations will be stored in the Meta Data Store.

  • Indexer

Collected data and its associated meta data will be indexed to facilitate Searching.

  • Simple Search

Simple Search facilitates key word based queries where user can specify some key words and system will provide a ranked list of results.

  • Faceted Search

In addition to the Simple Search functionality system will provide the Faceted Search where user can provide the key value pairs to search/discover data. Users have the ability to incoperate relevant provenance information as well.

  • Mapping to RDF

As defined in the more advanced work flow given data can be transformed to RDF using existing tools and this allows data publishers to publish the data in a standard form.

  • Data Publisher

This component will upload the RDF converted data into Linked Open Data and it will be accessed and queried from any where in the world.

  • Semantic Browsing

Semantic Browsing will allow us to navigate through the RDF data sets which is based on the triples.

Form of Data

Table

Geographic-impacts-table.png

Image

Gis relief 600.jpg

Unstructured Data

Unstructuredtostructured.jpg

Links

Annotator - Kino http://wiki.knoesis.org/index.php/Kino

Semantic Browsing - iExplore http://knoesis.wright.edu/iExplore/