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Workflow AIT Matchbox Scenario Check Duplicate Pair... (1)

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In this scenario matchbox will check duplicate pair of previously found duplicates in passed digital collection if output information was lost. The pair check does not require the time consumpting whole analysis and is very fast. Matchbox in this scenario is installed on remote Linux VM. Digital collection is stored on Windows machine.

Created: 2012-11-24

Credits: User Roman Network-member SCAPE

Uploader

Workflow AIT Matchbox Scenario Find Duplicates usin... (1)

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In this scenario matchbox will find duplicates in passed digital collection. All matchbox workflow steps are defined separately using input parameter sequence: clean, extract, train, bowhist and compare. User will get a list of duplicates in result. Matchbox in this scenario is installed on remote Linux VM. Digital collection is stored on Windows machine.

Created: 2012-11-24

Credits: User Roman Network-member SCAPE

Uploader

Workflow AIT Matchbox Scenario Professional (3)

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In this scenario matchbox will find duplicates in passed digital collection. Each matchbox workflow step can be executed separately. User will get a list of duplicates in result. Matchbox in this scenario is installed on remote Linux VM. Digital collection is stored on Windows machine. This workflow starts duplicate finding process using the FindDuplicates python script of the matchbox tool. Matchbox tool support python in version 2.7. Execution starts from the directory where python scripts ...

Created: 2012-11-24 | Last updated: 2012-11-24

Credits: User Roman Network-member SCAPE

Uploader

Workflow AIT Matchbox Scenario All (1)

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In this scenario matchbox will find duplicates in passed digital collection. All matchbox workflow steps are executed automatically in one turn. User will get a list of duplicates in result. Matchbox in this scenario is installed on remote Linux VM. Digital collection is stored on Windows machine.

Created: 2012-11-24 | Last updated: 2012-11-24

Credits: User Roman Network-member SCAPE

Uploader

Workflow Finding the origins of Solar Wind events a... (6)

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This gives a comprenhensive overview of high speed solar wind events (CME or CIR) seen at Eart, by obtaining the maximum in-situ measure velocity from the data evaluation service (DES), propagating the even backwards to Earth using the HELIO processing service (HPS) and SHEBA propagation model, and search whether halo CMEs or CHs were observed on that time, and retrieves, besides all the previous information, a context solar wind plot (+/- 1 day) and a URL linking to a context movie for CMEs...

Created: 2012-11-16 | Last updated: 2013-03-21

Credits: User David PS

Attributions: Workflow CME backwards propagation Workflow Co-rotating Interaction Regions backwards propagation Workflow HFC Synoptic map from date Workflow CDAW CME movie from date Workflow Solar Wind properties and plot Workflow Back CIR-CME propagation model Workflow LASCO_CME_QUERY

Creator

Pack Presentation - End-to-End Semantics


Created: 2012-11-12 15:28:38 | Last updated: 2012-11-13 00:35:30

Keynote talk by David De Roure at SSN workshop at ISWC 2012, Boston, 12 November 2012 In many respects the music industry has gone digital "end-to-end", with success stories in Semantic Web adoption. Science too is dealing with a "digital turn" and the R&D community is active with Semantic Web.  Meanwhile the Semantic Sensor Network workshop series has demonstrated the applicability of Semantic Web approaches in the sensor network domain. Looking to the future,...

4 items in this pack

Comments: 0 | Viewed: 28 times | Downloaded: 5 times

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Workflow ImportRefSeqtoKegg (3)

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This workflow extracts a column of RefSeq gene IDs from a CSV file and then converts them to Kegg gene identifiers. This workflow uses the new KEGG REST service, which replaces the old SOAP interface from 31st December 2012

Created: 2012-11-12 | Last updated: 2013-01-08

Credits: User Katy Wolstencroft

Creator

Pack Presentation - Knowledge Infrastructure for Global S...


Created: 2012-11-10 07:47:48 | Last updated: 2012-11-10 09:04:05

 Presentation at the First Open Global Systems Science Conference, Brussels, 8-10 November 2012 http://www.gsdp.eu/nc/news/news/date/2012/10/31/first-open-global-systems-science-conference/ Related blog post http://global-systems-science.eu/?p=272

3 items in this pack

Comments: 0 | Viewed: 257 times | Downloaded: 5 times

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Workflow Metamining: Create classifiers (1)

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 Uses mined patterns to learn rule model for metamining purposes.

Created: 2012-11-06 | Last updated: 2012-11-06

Workflow Split data for cross-validation (1)

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 Splits given dataset into 10 folds almost equal in size using stratified sampling.

Created: 2012-11-06 | Last updated: 2012-11-06

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