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Groovy script to convert (part of) CGN dat... (1)

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Created: 2015-01-22

Credits: Egon Willighagen

Get HPO concept label and synonym (1)

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This workflow queries bioportal for label and synonyms of Human Phenotype Ontology concepts.Note: this workflow requires a BioPortal API key to work. It can be requested from bioportal.bioontology.org

Created: 2014-10-20 | Last updated: 2014-10-20

Credits: Rajireturn BioSemantics

Visualize PAV provenance as SVG (2)

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VoID descriptions are fetched as Turtle, cleaned up to be valid OWL ontology and include useful labels, processed through the OWL reasoner Pellet; this adds inferred PROV statements to the RDF, which is then fed to the PROV Toolbox, generating an SVG visualization of the provenance. Note that this workflow downloads CWM, Pellet and ProvToolbox on demand, and uses UNIX command line tools like wget and md5 which are unlikely to work in Windows. This workflow has been tested on Ubuntu 12.10 wit...

Created: 2013-03-05 | Last updated: 2013-04-05

Credits: Stian Soiland-Reyes

Mining Semantic Web data using Corresponde... (1)

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This workflow will explain that how an example set can be extracted from an RDF resource using the provided SPARQL query. This example set is then divided into training and test parts. These sub-example sets are used by the Correspondencce Analysis operators (encapsulate the Correspondencce Analysis data transformation technique) which processes each feature at a time and transform the data into a different space. This transformed data is more meaningful and helps the learner to improve clas...

Created: 2011-06-25 | Last updated: 2011-06-25

Mining Semantic Web data using Corresponde... (1)

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This workflow describes how to learn from the Semantic Web's data using a data transformation algorithm 'Correspondence Analysis'. The input to the workflow is a feature vector developed from a RDF resource. The loaded example set is divided into training and test parts. These sub-example sets are used by the Correspondence Analysis operators (encapsulate the Correspondence Analysis data transformation technique) which processes each feature at a time and transform the data into a different...

Created: 2011-06-25 | Last updated: 2011-06-25

Mining Semantic Web data using FastMap - E... (1)

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This workflow describes how to learn from the Semantic Web's data. The input to the workflow is a feature vector developed from a RDF resource. The loaded example set is then divided into training and test parts. These sub-example sets are used by the FastMap operators (encapsulate the FastMap data transformation technique), which processes each feature at a time and transform the data into a different space. This transformed data is more meaningful and helps the learner to improve classfica...

Created: 2011-06-25 | Last updated: 2011-06-25

Search OpenTox data sets by title. (1)

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 Use of an OpenTox ontology server to find data sets with a particular string in the title, such as 'EPA' as in this case.

Created: 2010-11-14 | Last updated: 2010-11-14

Credits: Egon Willighagen

Calculate molecular descriptors with OpenT... (1)

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 Queries an OpenTox ontology server for available molecular descriptor, picks one, and calculates the descriptor value for a few molecules.

Created: 2010-10-30 | Last updated: 2010-10-30

Credits: Egon Willighagen

Similar Workflows (1)

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Created: 2010-07-09

Credits: David De Roure David R Newman Danius Michaelides

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Janus provenance graph (RDF)

Created: 2010-06-08 23:02:53 | Last updated: 2010-06-09 22:48:46

Credits: Paolo

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: RDF data

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